Signal Processing and Systems (SP&S) Seminar
Speaker: David Cohen
Affiliation: Viterbi Faculty of Electrical Engineering, Technion
Multiple input multiple output (MIMO) radars are composed of several transmitters and receivers, where each transmit element radiates a dierent orthogonal waveform. MIMO radar exhibits sev-
eral advantages with respect to traditional radar array systems in terms of exibility and performance. However, MIMO radar poses new challenges for both hardware design and digital processing. In particular, MIMO radars suer from range-azimuth resolution trade-o. In addition, achieving high azimuth resolution requires a large number of transmit and receive antennas. More over, the digital processing is performed on samples of the received signal, from each transmitter to each receiver, at its Nyquist rate, which can be prohibitively large.
In this work, we adopt a frequency division multiple access (FDMA) approach to avoid the range azimuth resolution conict. We can then combine large overall total bandwidth for the sake of
high range resolution and narrow individual bandwidth to allow for a larger aperture and high azimuth resolution. In addition, we process all channels jointly to overcome the FDMA range
resolution limitation to a single bandwidth, and address range-azimuth coupling using a random array conguration. Finally, to overcome the rate bottleneck, we propose sub-Nyquist sampling
methods that break the link between resolution and sampling in the time and space domain.
*MSc student under the supervision of Prof. Yonina Eldar.