BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/Los_Angeles BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0800 TZOFFSETTO:-0700 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:PDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0700 TZOFFSETTO:-0800 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:PST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230320T232556Z UID:F3AE469B-8DDA-4C16-B5BB-34DE53B062D9 DTSTART;TZID=America/Los_Angeles:20230316T190000 DTEND;TZID=America/Los_Angeles:20230316T203000 DESCRIPTION:Target localization based on frequency diverse array (FDA) rada r has lately garnered significant research interest. A linear frequency of fset (FO) across FDA antennas yields a range-angle dependent beampattern t hat allows for joint estimation of range and direction-of-arrival (DoA). P rior works on FDA largely focus on the one-dimensional linear array to est imate only azimuth angle and range while ignoring the elevation and Dopple r velocity. However\, in many applications\, the latter two parameters are also essential for target localization. Further\, there is also an intere st in radar systems that employ fewer measurements in temporal\, Doppler\, or spatial signal domains. We address these multiple challenges by propos ing a co-prime L-shaped FDA\, wherein co-prime FOs are applied across the elements of an L-shaped co-prime array and each element transmits at a non -uniform co-prime pulse repetition interval (C3 or C-Cube). This co-pulsin g FDA yields significantly large degrees of freedom (DoFs) for target loca lization in the range-azimuth-elevation-Doppler domain while also reducing the time-on-target and transmit spectral usage. By exploiting these DoFs\ , we develop a C-Cube auto-pairing (CCing) algorithm\, in which all the pa rameters are ipso facto paired during a joint estimation. We benchmark the performance of this new radar configuration by deriving lower error bound s and theoretical guarantees. Next\, we examine range-dependent clutter su ppression for co-pulsing radar via space-time adaptive processing (Co-STAP ). Here\, we propose an approximate method of three-dimensional (3-D) clut ter subspace estimation leveraging the well-known discrete prolate spheroi dal sequences (DPSS) to make a trade-off between the clutter suppression p erformance and computational cost. Compared to the conventional FDA-STAP a lgorithm\, the proposed DPSS-based method for Co-STAP exhibits the merits of better clutter suppression performance\, lower computational complexity \, and robustness to interference.\n\nSpeaker(s): Dr. Kumar Vijay Mishra\, \n\nAgenda: \n6:30 PM Socializing\n7:00 PM Talk\n\nBldg: Cal Lutheran Cen ter for Entrepreneurship - Hub101\, 31416 Agoura Rd \, WESTLAKE VILLAGE\, California\, United States\, 91361\, Virtual: https://events.vtools.ieee.o rg/m/349805 LOCATION:Bldg: Cal Lutheran Center for Entrepreneurship - Hub101\, 31416 Ag oura Rd \, WESTLAKE VILLAGE\, California\, United States\, 91361\, Virtual : https://events.vtools.ieee.org/m/349805 ORGANIZER:tehrani@ieee.org SEQUENCE:8 SUMMARY:Sparse Reconstruction in Co-Pulsing and Co-STAP FDA Radar URL;VALUE=URI:https://events.vtools.ieee.org/m/349805 X-ALT-DESC:Description: <br /><p>Target localization based on frequency div erse array (FDA) radar has lately garnered significant research interest. A linear frequency offset (FO) across FDA antennas yields a range-angle de pendent beampattern that allows for joint estimation of range and directio n-of-arrival (DoA). Prior works on FDA largely focus on the one-dimensiona l linear array to estimate only azimuth angle and range while ignoring the elevation and Doppler velocity. However\, in many applications\, the latt er two parameters are also essential for target localization. Further\, th ere is also an interest in radar systems that employ fewer measurements in temporal\, Doppler\, or spatial signal domains. We address these multiple challenges by proposing a co-prime L-shaped FDA\, wherein co-prime FOs ar e applied across the elements of an L-shaped co-prime array and each eleme nt transmits at a non-uniform co-prime pulse repetition interval (C3 or C- Cube). This co-pulsing FDA yields significantly large degrees of freedom ( DoFs) for target localization in the range-azimuth-elevation-Doppler domai n while also reducing the time-on-target and transmit spectral usage. By e xploiting these DoFs\, we develop a C-Cube auto-pairing (CCing) algorithm\ , in which all the parameters are ipso facto paired during a joint estimat ion. We benchmark the performance of this new radar configuration by deriv ing lower error bounds and theoretical guarantees. Next\, we examine range -dependent clutter suppression for co-pulsing radar via space-time adaptiv e processing (Co-STAP). Here\, we propose an approximate method of three-d imensional (3-D) clutter subspace estimation leveraging the well-known dis crete prolate spheroidal sequences (DPSS) to make a trade-off between the clutter suppression performance and computational cost. Compared to the co nventional FDA-STAP algorithm\, the proposed DPSS-based method for Co-STAP exhibits the merits of better clutter suppression performance\, lower com putational complexity\, and robustness to interference.</p><br /><br />Age nda: <br /><p>6:30 PM&nbsp\; Socializing <br />7:00 PM&nbsp\; Talk</p> END:VEVENT END:VCALENDAR