Maneuvering Target Detection Algorithm Based on Hankel Matrix Decomposition in Over-the-horizon Radar

Maneuvering target detection is one of the focuses in skywave Over-The-Horizon Radar (OTHR). The performance of existing algorithms is good for single maneuvering target in the condition of high SNR. However, the performance for multiple maneuvering targets in low SNR needs to be improved. In this paper, a new maneuvering target detection algorithm is proposed based on Hankel matrix decomposition. The maneuvering target signal is constructed in the form of Hankel matrix. Then the time-frequency estimation of maneuvering target signal is transformed into a convex optimization problem based on linear Principal Component Analysis (PCA) by matrix decomposition, so as to realize the separation of uniform and maneuvering targets, and the simultaneous estimation of multiple targets. The simulation results show that the proposed algorithm has the advantages of high estimation accuracy, low SNR and multiple target detection.