TARGET DETECTION WITH SNR DIVERSITY FOR DISTRIBUTED MIMO RADAR

In this paper, we consider a target detection problem with the signal-to-noise ratio (SNR) diversity for a distributed multiple-input multiple-output radar. The SNR diversity means that the SNRs in spatial diversity channels are different, which may degrade the detection performance. Further, the prior knowledge of the SNR is usually unavailable. Considering both aspects, we propose a cumulative contribution rate generalized likelihood ratio test (CCR-GLRT) detector. In each spatial diversity channel, the GLRT rule is exploited in order to obtain the local test statistic. In the fusion center, make the CCR of the local test statistics just greater than a given threshold factor. The global test statistic can be obtained by summarizing these local test statistics which satisfy the given factor. Simulation results show that our proposed CCR-GLRT detection algorithm outperforms the conventional centralized GLRT detection algorithm with the SNR diversity.