Sub-Nyquist MIMO radar prototype with Doppler processing

Abstract

Abstract-We present a hardware prototype of the sub-Nyquist multiple input multiple output radar (SUMMeR) system with capabilities of cognitive transmission and Doppler processing. The prototype allows both spatial and spectral compressive sampling. It realizes an X-band MIMO radar receiver configured to have a maximum of 8 transmit and 10 receive antenna elements. The orthogonality of MIMO waveforms is achieved via frequency division multiplexing. Targets range, azimuth and Doppler are recovered using the Xampling framework. The thinned 4x5 random array configuration achieves the detection performance of its filled array counterpart with samples obtained at 12.5% of Nyquist from half the antennas.

High Resolution FDMA MIMO Radar

“…13, proves the hardware feasibility of our FDMA MIMO radar. Further details can be found in [57], [58].…”

Sub-Nyquist Radar Systems: Temporal, Spectral, and Spatial Compression

“…Here, a successful detection (green circle) occurs when the estimated target is within one range cell, one azimuth bin and one Doppler bin of the ground truth (blue circle). More experiments in [42], [43] demonstrate that the prototype performance is robust with SNRs dropping to as low as −10 dB and the time and spatial resolution are preserved by simulating couples of close targets in range, Doppler and azimuth.…”

“…The cognitive SUMMeR prototype [42], [43] extends the Doppler focusing Xampling based prototype [41] to the MIMO configuration. It simultaneously recovers the targets' delays, Dopplers and azimuths from sub-Nyquist samples.…”

“…Wherever applicable, the second subscript corresponds to a particular transmitter. The square brackets (parentheses) are used for digital (analog) signals [42], [43]. a function of design parameters such as signal bandwidth, CPI or aperture.…”

“…We show that beyond substantial rate reduction, compression may also enable communication and radar spectrum sharing [37], [38], [39], as elaborated on in [40]. Throughout the paper, we consider both theoretical and practical aspects of compressed radar, and present hardware prototype implementations [41], [42], [43], [44] of the theoretical concepts, demonstrating realtime targets' parameters recovery from low rate samples in pulse-Doppler and MIMO radars.…”