Based on Improved ESPRIT Algorithm Radar Multi-target Recognition

Abstract

At present, application of dense targets is one of the important means of penetration. In many observation conditions, the echoes from the dense targets mixed with many aliasing signals, and conventional radar signal processing algorithms do not take the aliasing signals into account. Therefore it is difficult for conventional algorithms to recognize multi-targets. In this paper, an improved ES PRIT algorithm is proposed which can recognize the multi-targets from the aliasing echoes and greatly reduce the computational complexity without changing the algorithm accuracy, especially can obtain a better estimation in the case of low S NR environment. The proposed algorithm can firstly quickly realize the estimate of scattering center parameters of target echoes, and then based on the estimation, the aliasing targets can be recognized. The Simulation also verifies the improved ES PRIT algorithm has a better identification and recognition capability of aliasing targets in low SNR condition. Moreover because of reduction of the computational complexity, the performance of proposed algorithm is faster than conventional methods, especial ly in the case of multiple aliasing scattering centers.Keywords-identification and recognition of multi-target, ESPRIT algorithm, aliasing target, the estimate of scattering center parameter

HRRP multi‐target recognition in a beam using prior‐independent DBSCAN clustering algorithm

“…The other approach directly recognise the overlapped echoes without segmenting the multi‐target HRRP. As discussed in [15], the scattering centres (SCs) of multiple targets are extracted using the ESPRIT method and the template database containing multi‐target SCs are built. This method does not require to segment target echoes, which can avoid the error caused by segmentation results.…”