MIMO radar receiver design

Abstract

Compared to traditional phased-array radar, multiple-input multiple-output (MIMO) radar can offer better parameter identifiability and higher resolution, enable the direct applicability of adaptive techniques for effective interference and jamming suppression, and allow for much flexibility for transmit beampattern design and waveform optimization. Reaping the full benefit of the superior performance enabled by the MIMO radar requires a novel design of its receive filters to minimize the impact of scatterers in nearby range bins on the received signals from the range bin of interest (the so-called range compression problem). Recently, an instrumental variables (IV) approach to MIMO radar receive filter design was proposed and shown to outperform the conventional matched filter approach. In this paper, we will present a least squares (LS) based MIMO radar receiver design. We will compare the performances of the IV and LS approaches with that of the matched filter method under a variety of test conditions.