Block sparsity based compressive sensing processing for multi-channel GSM passive bistatic radar

Passive bistatic radar (PBR) systems use existing RF broadcast and communication signals in the environment. Currently, GSM mobile communication signals are almost ubiquitous particularly in the populated areas and road networks. Thus, GSM based PBR systems are suitable for short-range surveillance systems. But, like many communication waveforms, these signals are low-bandwidth signals resulting in low range resolutions when classical cross-correlation based methods are used for target detection. An improved method processes multiple GSM channels to improve the resolution which requires handling of larger data. Here, we propose an alternative approach based on Compressive Sensing (CS) which provides more robust detection in multi-channel based GSM-PBR processing compared to the classical one. The resolution improvement is achieved utilizing a fraction of measurements in comparison to classical process.