Near-Field 3D Phase Compensation Method for Distributed Radar System based on Parallel Implementation Architecture

Distributed coherent radar system is emerging to improve the radar target detection performance. However, due to the sparse arrangement of distributed radar nodes, the traditional far-field signal processing methods may fail in this scenario. To realize the near-field coherent accumulation, a 3-dimensional (3-D) phase compensation method via GPU device is proposed in this paper. Firstly, according to the geometry of the target and distributed nodes, the near-field target detection model is constructed. Then, the near-field matching function is designed to compensate for the phase difference via 3-D spatial grid search. Considering the high computational complexity of the 3-D search, Graphics Processing Unit (GPU) devices are used to realize the parallel acceleration of the proposed method. The experiment results show that the computational speed of near-field target detection is about 2000 times faster than that of the CPU serial method.