DocumentCode :
2952097
Title :
Gerschgorin radii based source number detection for closely spaced signals
Author :
Yang, Jar-Ferr ; Wu, Hsien-Tsai
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Volume :
6
fYear :
1996
fDate :
7-10 May 1996
Firstpage :
3053
Abstract :
We first analyze the resolution performance of the Gerschgorin radii based source number detector proposed by Wu, Yang and Chen (see IEEE Trans. SP, vol.43, no.6, p.1325-33, 1995) for independent closely-spaced plane waves. Based upon the analysis, we can easily verify the resolution threshold of the Gerschgorin radii based algorithm. For improvement of the detection performance, we then further propose a weighted Gerschgorin radii algorithm. With closed-form expressions and simulations, we find that the analyzed performance in terms of the number of sensors, the relative angular separation of emitters, and the signal-to-noise ratios can properly characterize their behaviour for source number detection
Keywords :
array signal processing; direction-of-arrival estimation; signal detection; signal resolution; Gerschgorin radii based algorithm; SNR; angular separation; closed-form expressions; closely spaced signals; detection performance; direction finding; emitters; independent closely spaced plane waves; resolution performance; resolution threshold; signal to noise ratios; simulations; source number detection; weighted Gerschgorin radii algorithm; Covariance matrix; Eigenvalues and eigenfunctions; Gaussian noise; Performance analysis; Sensor arrays; Signal analysis; Signal processing; Signal processing algorithms; Signal resolution; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1996. ICASSP-96. Conference Proceedings., 1996 IEEE International Conference on
Conference_Location :
Atlanta, GA
ISSN :
1520-6149
Print_ISBN :
0-7803-3192-3
Type :
conf
DOI :
10.1109/ICASSP.1996.550520
Filename :
550520
Link To Document :
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