Abstract

Multiple-input multiple-output (MIMO) radar has drawn unprecedented attention and becomes a main focus of research in the radar field. In this paper, we develop a novel STAP scheme for MIMO radar. The scheme takes advantage of the signals extracted by the matched filter (MF) bank which cascades with each receiver antenna element and forms a group of joint transmit-receive beams. A general sidelobe canceller (GSC) is derived to implement the adaptive matched filter (AMF) CFAR detection by employing a data level multistage wiener filter (DMWF) algorithm. This scheme reverses the unavailability of the phased-array-efficient joint-domain localized (JDL) algorithm for MIMO radar. Moreover, it adapts to MIMO radar with arbitrary ratio between transmitter and receiver element space. Even better, it needs less computed amount. We evaluate the validity of algorithm in terms of comparing the probability of detection performance and improving factor (IF) between phased array (PA) and MIMO radar.

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