Multistatic CFAR detection in non-Gaussian clutter

This work deals with a target detection algorithm for multistatic and multiple input - multiple output radars. The adopted algorithm is able to keep the false alarm rate constant, if the disturbance samples associated to each receiver-transmitter pair are distributed according to a Compound-Gaussian model. In particular, we analyze the performance of the adopted detection algorithm, in order to evaluate the impact of clutter diversity on the detection performance. To this aim, we simulated the clutter samples by varying the shape parameter of the clutter distribution associated to each receiver-transmitter pair. The results highlight that clutter diversity has a strong impact on the detection performance. In the case of two channels, i.e. two receiver-transmitter pairs, a significant result is that the same value of the probability of the detection is obtained for different couples of the shape parameters associated to the two channels.