Joint Target Detection and DOA Estimation of Underwater Targets Using Moving Array


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In the field of array signal processing, the detection of the number of signals and estimation of the direction of arrival (DOA) of signals are two important issues. They are generally solved separately with some algorithms dedicated to detection and other algorithms dedicated to DOA estimation. In this paper, an integrated method called SATDE(Synthetic Aperture Technique based Detection and Estimation) is proposed for multi-target detection and DOA estimation by underwater moving array. The proposed method exploits the synthetic aperture technique to achieve high angular resolution and the energy detection idea embodied in minimum variance distortionless response(MVDR) spectrum function to determinate the number and DOA of signals at the same time. Simulations and experimental studies show that the proposed method yields better detection performance than conventional detection methods such AIC and MDL for closely-spaced coherent signals and produces correct DOA estimations at the same time.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




Y. S. Hou et al., "Joint Target Detection and DOA Estimation of Underwater Targets Using Moving Array", Advanced Materials Research, Vols. 588-589, pp. 1127-1131, 2012

Online since:

November 2012




[1] T. W. Anderson, Asymptotic theory for principal component analysis, Ann. J. Math. Stat., vol. 34, pp.122-148, (1963).

[2] M. Wax and T. Kailath, Detection of signals by information theoretic criteria, IEEE Trans. Acoust., Speech, Signal Processing, vol. 33(2). pp.387-392, Apr. (1985).


[3] H. Akaike, A new look at the statistical model identification, IEEE Trans. Automat. Contr., vol. 19, pp.716-723, (1974).


[4] G. Schwarz, Estimating the dimensions of a model., The Annals of Statistics. vol. 6(2), pp.461-464, (1978).

[5] J . Rissanen, Modelling by shortest data description, Autornarica, vol. 14. pp.465-471, (1978).

[6] L. C. Zhao, P. R. Krishnaiah, and Z. D. Bai, On detection of numbers of signals in presence of white noise, J. Multivariare Anal., vol. 20, pp.1-25, (1986).

[7] W. Chen, K. M. Wong. Detection of the number of signals: a predicted eigen-threshold approach, IEEE Trans. on Signal Processing, vol. 39, pp.1088-1098, May. (1991).


[8] Harry Lee, Fu Li. An Eigenvector Technique for Detecting the Number of Emitters in a Cluster. IEEE Transactions on signal processing, vol. 42, no. 9, September 1994, pp.2380-2388.


[9] Olivia Hu, Fuchun Zhen and Michael Faulkner, Detecting the number of signals using antenna array: a signal threshold solution", Fifth International Symposium on Signal Processing and Its Applications, ISSPA'1999, Brisbane, Australia, 22-25 August, (1999).


[10] Nai-Chyuan Yen and William Carey, Application of synthetic-aperture processing to towed-array data, J. Acoust. Soc. Am., Vol. 86(2): 754-765, (1989).