Fully Coherent Fusion of BeiDou-Based Passive Multistatic Radar for Weak Target Detection

Multiple spatial diversity channels and multiple coherent processing intervals cause differences in the target’s scattering nature, bistatic range, and bistatic Doppler frequency. The paper proposes a fully coherent fusion method for moving target detection on BeiDou-based passive multistatic radar. It first implements a signal synchronization algorithm, followed by a joint signal parameter estimation method based on the sparse algorithm and the least squares method. Lastly, a coherent matching strategy is applied to align target positions and phases in all integrated maps. This enables the multi-source coherent fusion of echoes, maximizing the target energy in practice. Both simulated and real-measured data prove the remarkable performance in weak target detection compared to the existing methods.