Enhanced multistatic active sonar signal processing.

Multistatic active sonar systems involve the transmission and reception of multiple probing sequences and can achieve significantly enhanced performance of target detection and localization through exploiting spatial diversity. This paper mainly focuses on two signal processing aspects of such systems, namely, enhanced range-Doppler imaging and improved target parameter estimation. The main contributions of this paper are (1) a hybrid dense-sparse method is proposed to generate range-Doppler images with both low sidelobe levels and high accuracy; (2) a generalized K-Means clustering (GKC) method for target association is developed to associate the range measurements from different transmitter-receiver pairs, which is actually a range fitting procedure; (3) the extended invariance principle-based weighted least-squares method is developed for accurate target position and velocity estimation. The effectiveness of the proposed multistatic active sonar signal processing techniques is verified using numerical examples.

[1]  G. Schwarz.  Estimating the Dimension of a Model , 1978 .

[2]  S. P. Lloyd,et al.  Least squares quantization in PCM , 1982, IEEE Trans. Inf. Theory.

[3]  S.M. Kay,et al.  Digital signal processing for sonar , 1981, Proceedings of the IEEE.

[4]  S. Coraluppi,et al.  Multistatic Sonar Localization , 2006, IEEE Journal of Oceanic Engineering.

[5]  P. Stoica,et al.  Maximum likelihood methods in radar array signal processing , 1998, Proc. IEEE.

[6]  Hao He,et al.  Enhanced channel estimation and symbol detection for high speed multi-input multi-output underwater acoustic communications. , 2009, The Journal of the Acoustical Society of America.

[7]  Y. Bar-Shalom,et al.  A new relaxation algorithm and passive sensor data association , 1992 .

[8]  P. Stoica,et al.  Cyclic minimizers, majorization techniques, and the expectation-maximization algorithm: a refresher , 2004, IEEE Signal Process. Mag..

[9]  Jian Li,et al.  Source Localization and Sensing: A Nonparametric Iterative Adaptive Approach Based on Weighted Least Squares , 2010, IEEE Transactions on Aerospace and Electronic Systems.

[10]  Jian Li,et al.  Iterative Adaptive Approaches to MIMO Radar Imaging , 2010, IEEE Journal of Selected Topics in Signal Processing.

[11]  Josef A. Nossek,et al.  The Extended Invariance Principle for Signal Parameter Estimation in an Unknown Spatial Field , 2011, IEEE Transactions on Signal Processing.

[12]  Jian Li,et al.  Sparse Learning via Iterative Minimization With Application to MIMO Radar Imaging , 2011, IEEE Transactions on Signal Processing.