{"id":1190,"date":"2024-10-28T16:46:58","date_gmt":"2024-10-28T23:46:58","guid":{"rendered":"https:\/\/faculty.engineering.asu.edu\/bliss\/?page_id=1190"},"modified":"2024-10-28T16:46:58","modified_gmt":"2024-10-28T23:46:58","slug":"active-research-areas","status":"publish","type":"page","link":"https:\/\/faculty.engineering.asu.edu\/bliss\/active-research-areas\/","title":{"rendered":"Active Research Areas"},"content":{"rendered":"\n\n\n<h2 class=\"wp-block-heading\">Sponsored Research<\/h2>\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-930feb06 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:33.33%\">\n<p class=\"wp-block-paragraph\">The following companies have funded research projects within the BLISS Lab.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>DARPA<\/li>\n\n\n\n<li>Office of Naval Research Science and Technology<\/li>\n\n\n\n<li>Raytheon<\/li>\n\n\n\n<li>Google<\/li>\n\n\n\n<li>National Science Foundation<\/li>\n\n\n\n<li>Air Force Office of Scientific Research<\/li>\n\n\n\n<li>Systems &amp; Technology Research (STR)<\/li>\n\n\n\n<li>Airbus<\/li>\n\n\n\n<li>Nokia<\/li>\n\n\n\n<li>Lincoln Laboratory, Massachusetts Institute of Technology (MIT)<\/li>\n\n\n\n<li>Interstate Broadcasting, LLC<\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\" style=\"flex-basis:66.66%\">\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1500\" height=\"303\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-1500x303.jpg\" alt=\"\" class=\"wp-image-737\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-1500x303.jpg 1500w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-500x101.jpg 500w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-1000x202.jpg 1000w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-1536x310.jpg 1536w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/recentFunding-2048x413.jpg 2048w\" sizes=\"auto, (max-width: 1500px) 100vw, 1500px\" \/><\/figure>\n<\/div>\n<\/div>\n\n\n<section  class=\"uds-section alignfull has-background has-gray-2-background-color \" style=\"\"><div class=\"acf-innerblocks-container\">\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"1164\" height=\"478\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2020\/03\/dashAsuNow.jpg\" alt=\"\" class=\"wp-image-896 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2020\/03\/dashAsuNow.jpg 1164w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2020\/03\/dashAsuNow-500x205.jpg 500w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2020\/03\/dashAsuNow-1000x411.jpg 1000w\" sizes=\"auto, (max-width: 1164px) 100vw, 1164px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Next Generation Domain-Specific Processor<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ASU and its collaborators are developing novel advanced processor for RF systems. This research is funded by DARPA.<\/p>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-uds-md\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/asunow.asu.edu\/20180724-asu-darpa-grant-daniel-bliss-computational-architecture\">Read more in ASU Now<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"638\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/exampleArray.jpg\" alt=\"\" class=\"wp-image-829 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/exampleArray.jpg 600w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/exampleArray-470x500.jpg 470w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Advance Antenna Array Implementations<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ASU and its collaborators are developing novel flexible antenna-array approaches and technologies for the next generation of communications systems. This research is funded in part by Airbus.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"600\" height=\"486\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/cardiacRadar.jpg\" alt=\"\" class=\"wp-image-831 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/cardiacRadar.jpg 600w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2019\/02\/cardiacRadar-500x405.jpg 500w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Cardiac Radar<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">ASU is advanced signal processing and algorithms to extract cardiacs signals from small-scale radar systems.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Y. Rong and D. W. Bliss, \u201cDirect RF Signal Processing For Heart-Rate Monitoring Using UWB Impulse Radar,\u201d IEEE Asilomar Conference on Signals, Systems, and Computers, Oct., 2018.<\/li>\n\n\n\n<li>Y. Rong and D. W. Bliss \u201cHarmonics-Based Multiple Heartbeat Detection at Equal Distance Using UWB Impulse Radar,\u201d IEEE Radar Conference, Oklahoma City, April, 2018.<\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"963\" height=\"418\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/heteroSystem.png\" alt=\"\" class=\"wp-image-345 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/heteroSystem.png 963w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/heteroSystem-500x217.png 500w\" sizes=\"auto, (max-width: 963px) 100vw, 963px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Radio and Radar Coexistence<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">As the commercial needs of wireless communications have increased over the last couple decades, the spectral allocations given to radar systems have been viewed with some envy and avarice; however, historically communications systems and radars would cause significant interference to each other. \u00a0Consequently, they would be spectrally isolated. \u00a0The BLISS lab is considering the\u00a0theory, signal processing, and system approaches that fundamentally break this world view. \u00a0In fact, in certain\u00a0regimes\u00a0these systems can actually aid each other\u2019s goals. \u00a0We are developing new theory and approaches that will enable a dramatic change in radar and radio operations. This research is funded by ONR and by DARPA under the SSPARC program.<\/p>\n\n\n<div class=\"accordion\" id=\"accordion-missing\"><div class=\"acf-innerblocks-container\">\n<div class=\"accordion-item desktop-disable-never\"><div class=\"accordion-header\"><h4><button id=\"fCard-block_4b4a670c06f6d0a06f5e403c1c0dffb2\" role=\"button\" data-bs-toggle=\"collapse\" data-bs-target=\"#fCardBody-block_4b4a670c06f6d0a06f5e403c1c0dffb2\" aria-controls=\"fCardBody-block_4b4a670c06f6d0a06f5e403c1c0dffb2\" aria-expanded=\"false\" class=\"collapsed\"><span class=\"accordion-icon\"><i class=\"fa-placeholder\"><\/i>Recent Papers<\/span><span class=\"fas fa-chevron-up\"><\/span><\/button><\/h4><\/div><div id=\"fCardBody-block_4b4a670c06f6d0a06f5e403c1c0dffb2\" aria-labelledby=\"fCard-block_4b4a670c06f6d0a06f5e403c1c0dffb2\" class=\"accordion-body collapse\"><div class=\"acf-innerblocks-container\">\n\n<ul class=\"wp-block-list\">\n<li>D. Bliss, \u201cCooperative Radar and Communications Signaling: The Estimation and Information Theory Odd Couple,\u201d IEEE Radar Conference, May 2014.<\/li>\n\n\n\n<li>B. Paul and D. W. Bliss, \u201cExtending Joint Radar-Communications Bounds for FMCW Radar with Doppler Estimation,\u201d IEEE International Radar Conference, May, 2015.<\/li>\n\n\n\n<li>A. R. Chiriyath and D. W. Bliss, \u201cJoint Radar-Communications Performance Bounds: Data versus Estimation Information Rates,\u201d IEEE MilCom Conference, Oct., 2015.<\/li>\n\n\n\n<li>B. Paul and D. W. Bliss \u201cConstant Information Radar for Dynamic Shared Spectrum Access,\u201d IEEE Asilomar Conference on Signals, Systems, and Computers, Nov., 2015.<\/li>\n\n\n\n<li>A. R. Chiriyath and D. W. Bliss \u201cEffect of Clutter on Joint Radar-Communications System Performance Inner Bounds,\u201d IEEE Asilomar Conference on Signals, Systems, and Computers, Nov., 2015.<\/li>\n\n\n\n<li>A. R. Chiriyath, B. Paul, G. M. Jacyna, and D. W. Bliss \u201cInner Bounds on Performance of Radar and Communications Co-Existence,\u201d IEEE Transactions on Signal Processing, Jan., 2016.<\/li>\n\n\n\n<li>B. Paul, and D. W. Bliss, \u201cEstimation Information Bounds Using the I-MMSE Formula and Gaussian Mixture Models,\u201d IEEE Conference on Information Sciences and Systems (CISS), Princeton, New Jersey, March 2016.<\/li>\n\n\n\n<li>B. Paul, A. R. Chiriyath, and D. W. Bliss, \u201cJoint Communications and Radar Performance Bounds Under Continuous Waveform Optimization: The Waveform Awakens,\u201d IEEE Radar Conference, Philadelphia, May 2016.<\/li>\n\n\n\n<li>A. R. Chiriyath, B. Paul, and D. W. Bliss, \u201cJoint Radar-Communications Information Bounds with Clutter: The Phase Noise Menace,\u201d IEEE Radar Conference, Philadelphia, May 2016.<\/li>\n\n\n\n<li>B. Paul and D. W. Bliss \u201cThe Constant Information Radar,\u201d MDPI Special Issue \u201cRadar and Information Theory\u201d of Entropy Journal, Sept., 2016.<\/li>\n\n\n\n<li>B. Paul, A. R. Chiriyath, and D. W. Bliss \u201cSurvey of RF Communications and Sensing Convergence Research,\u201d IEEE Access, Feb., 2017.<\/li>\n\n\n\n<li>A. R. Chiriyath, B. Paul, and D. W. Bliss \u201cRadar-Communications Convergence: Coexistence, Cooperation, and Co-Design,\u201d IEEE Transactions on Cognitive Communications and Networking, March, 2017.<\/li>\n\n\n\n<li>A. R. Chiriyath, B. Paul, and D. W. Bliss, \u201cSimultaneous Radar Detection and Communications Performance with Clutter Mitigation,\u201d IEEE Radar Conference, Seattle, May 2017.<\/li>\n\n\n\n<li>A. Herschfelt, and D. W. Bliss, \u201cMulti-Static Space-Time-Frequency Multiple Access Channel Simulation and Results,\u201d IEEE Radar Conference, Seattle, May 2017.<\/li>\n\n\n\n<li>B. Paul, C. D. Chapman, A. R. Chiriyath, and D. W. Bliss, \u201cBridging Mixture Model Estimation and Information Bounds Using I-MMSE,\u201d IEEE Transactions on Signal Processing, Sept., 2017.<\/li>\n<\/ul>\n\n<\/div><\/div><\/div>\n<\/div><\/div><\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"675\" height=\"438\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/distRX.png\" alt=\"\" class=\"wp-image-342 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/distRX.png 675w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/distRX-500x324.png 500w\" sizes=\"auto, (max-width: 675px) 100vw, 675px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Distributed Coherent Systems<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">By employing disparate radios or RF systems as a single coherent system, communications and energy transmission can be achieved that far exceed anything attainable\u00a0by a single radio. \u00a0This technology has the prospect of providing revolutionary improvements in system performance; however, disparate radio do not naturally want to act as a single coherent system. \u00a0BLISS\u00a0lab is developing the theory and technology to enable these concepts. \u00a0We are developing channel modeling and prediction techniques. \u00a0We are developing experimental approaches for studying channel and hardware phenomenology. \u00a0We are\u00a0developing theoretical bounds and signal processing concepts for constrained distributed communications. This research is funded by MIT Lincoln Laboratory for DARPA and by DARPA.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"http:\/\/www.mdpi.com\/1099-4300\/20\/4\/269\">C. D. Chapman, H. Mittelmann, A. R. Margetts, and D. W. Bliss, \u201cA Decentralized Receiver in Gaussian Interference,\u201d MDPI Entropy Journal, April, 2018.<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"660\" height=\"303\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/eeg.png\" alt=\"\" class=\"wp-image-346 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/eeg.png 660w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/eeg-500x230.png 500w\" sizes=\"auto, (max-width: 660px) 100vw, 660px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Physiological\u00a0Analytics<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">BLISS lab is developing statistical signal processing approaches that enable categorizing and anticipating a number of physiological processes. \u00a0In particular, we have and are continuing to developed advanced predictions techniques based upon EEG analysis. There are an extremely broad set of opportunities and applications for this research.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1525505012004763\">J. R. Williamson, D. W. Bliss, D. W. Browne, and J. T. Narayanan, \u201cSeizure prediction using EEG spatiotemporal correlation structure,\u201d Epilepsy &amp; Behavior, Oct., 2012.<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"555\" height=\"424\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/fluidProto.png\" alt=\"\" class=\"wp-image-350 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/fluidProto.png 555w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/fluidProto-500x382.png 500w\" sizes=\"auto, (max-width: 555px) 100vw, 555px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Advanced Communications Protocols and Computations<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">When one considers the current state of wireless communications, it becomes clear that it is both absolutely amazing and something of a mess. Our communications standards are the result of local optimizations over time that led to a confusing set of suboptimal and fragile wireless standards. Starting from a clean sheet of paper, BLISS lab is considering a fluid set of communications standards co-optimizeds with flexible but power-efficient computational implementations\u00a0that will enable the next revolution of wireless communications. \u00a0We will enable much higher data rates and much lower data rates with corresponding lower power consumption as the needs of the users vary. This research was funded by Google ATAP.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/dl.acm.org\/citation.cfm?id=3139321\">G. Bhat, S. Srinivas, V. Chagari, J. Park, T. McGiffen, H. Lee, D. W. Bliss, C. Chakrabarti, U. Y. Ogras, \u201cFluid wireless protocols: energy-efficient design and implementation,\u201d IEEE\/ACM Symposium on Embedded Systems for Real-Time Multimedia, Oct., 2017.<\/a><\/li>\n<\/ul>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-uds-md\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/youtu.be\/T4D2pUzddZw\">More about this topic on YouTube<\/a><\/div>\n<\/div>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:33% auto\"><figure class=\"wp-block-media-text__media\"><img loading=\"lazy\" decoding=\"async\" width=\"617\" height=\"480\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/scatteringField.png\" alt=\"\" class=\"wp-image-344 size-full\" srcset=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/scatteringField.png 617w, https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2015\/03\/scatteringField-500x389.png 500w\" sizes=\"auto, (max-width: 617px) 100vw, 617px\" \/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Multiaccess Techniques and Bounds<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Multiple access communications techniques that employ multiuser detection for simple channels are relatively well understood; however when the channels are dynamic, both the theoretical limits and viable approaches are less clear. \u00a0We are developing, the theory and signal processing to address these issues for dynamic environments for which expect some spatial-Doppler correlations. This research is funded by SAZE Technologies.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top is-image-fill has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:31% auto\"><figure class=\"wp-block-media-text__media\" style=\"background-image:url(https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2024\/10\/whitediamond.png);background-position:50% 50%\"><img loading=\"lazy\" decoding=\"async\" width=\"128\" height=\"224\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2024\/10\/whitediamond.png\" alt=\"\" class=\"wp-image-1188 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Advanced Detection Theory<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Over the last decade, significant advances in radar theory have been developed thanks to the introduction of multiple-input multiple-output (MIMO) radar. \u00a0While many of these concepts were understood previously, MIMO radar enables a common framework to investigate these ideas, and, consequently, enables new radar system concepts. \u00a0In the particularly interesting area of ground moving target indicator (GMTI) radar, the addition of MIMO can avail dramatic system performance improvements. \u00a0These concepts have applications both to military and commercial systems (such as automotive radars). \u00a0The BLISS lab is pursuing new detection theory for GMTI MIMO systems based upon the concept of invariants. This research was funded by DEC via AFRL.<\/p>\n<\/div><\/div>\n\n\n\n<div class=\"wp-block-media-text is-stacked-on-mobile is-vertically-aligned-top is-image-fill has-white-background-color has-background\" style=\"margin-top:var(--wp--preset--spacing--uds-size-4);margin-bottom:var(--wp--preset--spacing--uds-size-4);padding-top:var(--wp--preset--spacing--uds-size-4);padding-right:var(--wp--preset--spacing--uds-size-4);padding-bottom:var(--wp--preset--spacing--uds-size-4);padding-left:var(--wp--preset--spacing--uds-size-4);grid-template-columns:31% auto\"><figure class=\"wp-block-media-text__media\" style=\"background-image:url(https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2024\/10\/whitediamond.png);background-position:50% 50%\"><img loading=\"lazy\" decoding=\"async\" width=\"128\" height=\"224\" src=\"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-content\/uploads\/sites\/226\/2024\/10\/whitediamond.png\" alt=\"\" class=\"wp-image-1188 size-full\"\/><\/figure><div class=\"wp-block-media-text__content\">\n<h3 class=\"wp-block-heading\"><strong>Remote Sensing Systems<\/strong><\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">For multiple applications we investigate advanced remote sensing technologies including radar and other less traditional sensing modalities.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1002\/2017JB014845\">S. Werth, D. White, and D. W. Bliss, \u201cGRACE Detected Rise of Groundwater in the Sahelian Niger River Basin,\u201d Journal of Geophysical Research, Dec., 2017.<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/ieeexplore.ieee.org\/abstract\/document\/7862840\/\">S. Bryan, A. Clarke, L. Vanderkluysen, C. Groppi, S. Paine, D. W. Bliss, J. Aberle, and P. Mauskopf, \u201cMeasuring Water Vapor and Ash in Volcanic Eruptions with a Millimeter-Wave Radar\/Imager,\u201d IEEE Transactions on Geoscience and Remote Sensing, Feb., 2017.<\/a><\/li>\n<\/ul>\n<\/div><\/div>\n\n<\/div><\/section>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p class=\"mb-2\">Sponsored Research The following companies have funded research projects within the BLISS Lab.<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":4,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-1190","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/pages\/1190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/comments?post=1190"}],"version-history":[{"count":0,"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/pages\/1190\/revisions"}],"wp:attachment":[{"href":"https:\/\/faculty.engineering.asu.edu\/bliss\/wp-json\/wp\/v2\/media?parent=1190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}