With the increase of radar resolutions, point source models at low resolutions are no longer applicable. And the target range spread phenomenon brought by the improvement of radar resolution has an increasingly greater impact on radar detection probability. Therefore, this paper aims at the problem of detecting range spread targets in distributed MIMO radar. We model the problem as a binary hypothesis testing problem, and suppose the interference clutter covariance matrices corresponding to different transmit-receive pairs is random matrices. The prior probability density functions are also supposed as inverse complex Wishart distributions. By setting different power levels to simulate the nonhomogeneous clutter power between different transmit-receive antenna pairs. Two new detectors were derived based on the detection criteria of Rao and Wald detectors and the Bayesian frame with the nonhomogeneous clutter. The detectors mainly have two advantages:firstly, no training data is needed; secondly, the prior information of clutter is included in the decision rule which increase the performance. The simulation results show that in a nonhomogeneous clutter environment, our detectors perform better than the existing detection performance and have lower computational complexity.
LAN Yun
,
TANG Liang
,
BU Zhiyong
,
CAO Leban
. Range spread target adaptive detector for distributed MIMO radar in nonhomogeneous environment[J]. Journal of University of Chinese Academy of Sciences, 2021
, 38(4)
: 524
-531
.
DOI: 10.7523/j.issn.2095-6134.2021.04.012
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