Adaptive Range-Doppler Imaging and Target Parameter Estimation in Multistatic Active Sonar Systems

Multistatic active sonar systems involve the transmission and reception of multiple probing sequences. Since the multiple simultaneously transmitted probing sequences act as interferences to one another, adaptive receiver filters are needed for interference suppression and for target range-Doppler imaging. Two adaptive receiver designs, namely, the iterative adaptive approach (IAA) and the sparse learning via iterative minimization (SLIM) method, are considered for range-Doppler imaging via multistatic active sonar. The so-obtained range-Doppler images allow us to further estimate the target parameters. Specifically, we use the popular quasi-Newton method for target position estimation and the least squares (LS) fitting approach for target velocity determination. The effectiveness of the proposed multistatic active sonar signal processing techniques is verified using numerical examples.