Distributed MIMO radar detection with channel evaluation and selection strategy

We consider a moving target detection problem using distributed multiple-input multiple-out (MIMO) radar, where the Signal-to-Noise Ratios (SNRs) in each transmit-receive (T-R) channels are different. We propose two knowledge-based detectors based on the generalized likelihood ratio test (GLRT) rule, both of which require the knowledge of the SNRs relationship among T-R channels. Finally, we evaluate the performance of the derived detectors via computer simulations, and the results illustrate that they outperform conventional detection algorithm.