DocumentCode
2759723
Title
Joint estimation of DOA and time-delay in underwater localization
Author
Zhang, Qunfei ; Huang, Jianguo
Author_Institution
Coll. of Marine Eng., Northwestern Polytech. Univ., Xian, China
Volume
5
fYear
1999
fDate
1999
Firstpage
2817
Abstract
Joint estimation of direction of arrival (DOA) and time-delay plays a great role in source localization, which attracts many researchers not only in the areas of radar, sonar, geological exploration but also in wireless communication. M. Wax (see IEEE Trans. on SP, vol.45, no.10, p.2477-84, 1997) applies approximate MLE with iteration algorithm, which convert a 2-D search into two or three 1-D search. A.J. van der Veen (see IEEE Trans. on SP, vol.46, no.2, p.405-18, 1998) use 2-D ESPRIT to conduct joint estimation. Both of them show good performance at a cost of large computation. Both of them require deconvolution in the frequency domain to transfer time-delay into phase. The deconvolution lends to two problems. One is blowing up noise, the other is leading to spurious peak if the emitted signal is non-minimum phase. In this paper, a simple method using 1-D ESPRIT is presented to complete joint estimation of DOA and time-delay, which requires no deconvolution. It is suitable for active underwater localization where a non-minimum phase signal is frequently employed. The method can estimate parameters of three reflectors with big difference between amplitudes as large as 12 dB. The statistical performance of new estimators and the probability of correct pairing are given by computer simulations. It shows that better performance of the new method can be achieved for multiple source localization even in low SNR
Keywords
array signal processing; delay estimation; direction-of-arrival estimation; sonar arrays; sonar signal processing; statistical analysis; underwater sound; 1D ESPRIT; 1D search; 2D ESPRIT; 2D search; DOA; MLE; active underwater localization; computer simulations; deconvolution; direction of arrival; frequency domain; geological exploration; joint estimation; low SNR; nonminimum phase noise; nonminimum phase signal; parameter estimation; performance; probability; radar; reflectors; sonar; source localization; statistical performance; time-delay; wireless communication; Computational efficiency; Deconvolution; Direction of arrival estimation; Frequency domain analysis; Geology; Maximum likelihood estimation; Phase noise; Radar; Sonar; Wireless communication;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location
Phoenix, AZ
ISSN
1520-6149
Print_ISBN
0-7803-5041-3
Type
conf
DOI
10.1109/ICASSP.1999.761348
Filename
761348
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