DocumentCode :
2871919
Title :
Radar target recognition based on fuzzy clustering
Author :
Jing, Jiang ; Shouyong, Wang ; Lan, Yu ; Delin, Zuo ; Zhaoming, Yang ; Changwen, Tang
Author_Institution :
Key Lab., Air Force Radar Acad., Wu Han, China
Volume :
2
fYear :
1998
fDate :
1998
Firstpage :
1532
Abstract :
A new method of recognizing the aircraft number of a radar target from a narrowband IF signal of non-coherent radar is presented. According to the received narrowband IF echo signal, its autocorrelation matrix is computed. The feature vector is the eigenvalue of the autocorrelation matrix, and the orthogonal transformation is accomplished to remove the unnecessary information in the feature. The Karhunen-Loeve (K-L) transformation is the optimum orthogonal transformation in LMSE. For a stationary Markov process, if p→1, the K-L transformation matrix is the same with the DCT and can be accomplished by the FFT. Based on the K-nearest neighbor classification rule, a new fuzzy K-NN rule is presented. Satisfactory results have been obtained using the above methods
Keywords :
Karhunen-Loeve transforms; Markov processes; aircraft; correlation methods; discrete cosine transforms; eigenvalues and eigenfunctions; fast Fourier transforms; fuzzy set theory; least mean squares methods; matrix algebra; radar signal processing; radar target recognition; radar theory; DCT; FFT; IF echo signal; K-nearest neighbor classification; Karhunen-Loeve transformation; LMSE; aircraft number; autocorrelation matrix; eigenvalue; feature vector; fuzzy K-NN rule; fuzzy clustering; narrowband IF signal; non-coherent radar; optimum orthogonal transformation; radar target recognition; stationary Markov process; Airborne radar; Aircraft; Autocorrelation; Clustering algorithms; Discrete cosine transforms; Eigenvalues and eigenfunctions; Laboratories; Narrowband; Radar antennas; Target recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
Type :
conf
DOI :
10.1109/ICOSP.1998.770917
Filename :
770917
Link To Document :
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