A Sparse Target-scenario Determination Strategy Based on Compressive Sensing for Active Radar in the Line of Sight

Active radar can improve the cross-range resolution in the squint and side-looking direction using Doppler Beam Sharpening (DBS) and Synthetic Aperture Radar (SAR) techniques, but can difficultly determine multiple targets in the forward-looking direction at the same range cell but different angel in one beam. A spare target-scenario determination strategy based on Compressive Sensing (CS) framework is addressed which can obtain the resolution in the line of sight for active radar and need only one receiver channel. The outputs of multiple sub-arrays are randomly weighted and then summarized in single receiver channel. The single-receiver outputs in the same one range cell belonging to multiple pulse repetition periods are modeled as multiple observations with respect to the same one spare target-scenario, and then the sparse-target scene is estimated using the recovery method of compressive sensing based on observations. Numerical experiments show that the proposed method can obtain the resolution of a spare target scenario in one beam in the line of sight for active radar.