Target tracking using adaptive compressive sensing and processing

Compressive sensing and processing (CSP) performs signal acquisition and processing at sub-Nyquist rates. This makes CSP an attractive option in radar target tracking as it reduces computational load in sequential signal acquisition and processing. However, CSP is accompanied by a reduction in signal to noise ratio (SNR) which results to a deterioration of tracking performance. In order to improve tracking performance CSP can be configured using information available on the target state which is provided by the sequential estimation process. In this work, adaptive CSP is applied to a target tracking scenario. A particle filtering implementation using adaptive CSP is developed for tracking a single target. Simulation results are provided to demonstrate the improvement in SNR and in tracking a single target by adaptive CSP over non-adaptive CSP and previously proposed adaptive CSP methods.