A compressive sensing approach to the fusion of PCL sensors

Abstract

Sensor data fusion techniques have been applied in the recent years to the combination of the information provided by different sensor systems. Passive coherent location (PCL) networks use the illumination by common radio or television transmitters to detect air-targets and estimate their positions and parameters due to the reflected waves. To fuse the information of the bistatic Tx-Rx pairs advanced techniques have been developed based on the detections and parameter estimates obtained at each bistatic pair. In our paper we will consider joined signal processing of the radar raw data based on compressive sensing (CS) techniques using the block-sparsity approach.