Range-Doppler ambiguity mitigation via closed-loop, adaptive PRF selection

In this paper, we present a method of calculating and updating target probabilities in ambiguous range-Doppler cells along with an adaptive pulse repetition frequency (PRF) selection technique based on mutual information (MI). We approach the problem of updating the probability in multiple ambiguous cells by using a multiple hypothesis test for the target state. The probability ensemble is then used to determine which PRF will maximize MI on the next update. Since MI is a measure of the reduction in entropy of the ensemble, it indicates the amount of information the radar stands to learn about the channel due to the selected PRF. We compare the results of MI-based PRF selection to two other PRF selection methods and demonstrate how blind zones and clutter aliasing can be seamlessly integrated into our PRF-selection procedure.