Adaptive compressed sensing based joint detection and tracking algorithm for airborne radars with high resolution

This paper presents a novel adaptive compressed sensing based joint detection and tracking algorithm (ACS-JDT algorithm) for airborne radars with high resolution. By exploiting the sparsity of targets in the measurement space, the adaptive compressed sensing algorithm (ACS algorithm) reconstructs the whole radar scenario (direction of arrival (DOA)-Doppler plane) for each range gate during one scan. As a result, a three-dimensional measurement space (range-DOA-Doppler space) is built during multiple consecutive scans. A joint detection and tracking algorithm is then performed for tracking multiple targets in the measurement space. The ACS algorithm together with the joint detection and tracking procedures, can effectively distinguish true targets from clutter based on information from multiple scans.