Paper Info
Title
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 ESPRIT 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 SNR 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 ESPRIT 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, especially in the case of multiple aliasing scattering centers.
Year
DOI
Venue
2013
10.1109/DASC.2013.99
2013 IEEE 11TH INTERNATIONAL CONFERENCE ON DEPENDABLE, AUTONOMIC AND SECURE COMPUTING (DASC)
Keywords
Field
DocType
identification and recognition of multi-target, ESPRIT algorithm, aliasing target, the estimate of scattering center parameter
Radar,Computer vision,Computer science,Algorithm,Aliasing,Scattering,Artificial intelligence,Radar signal processing,Computational complexity theory
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Haitao Jia102.03
Li Jian28531.63
Taoliu Yang300.34
Wei Zhang426028.92