Efficient centralized track initiation method for multistatic radar

An efficient centralized track initiation method for multistatic radar system is proposed in this paper. The method mainly consists of a same source association technique and a measurement fusion approach. The main advantage of the new method is its good performance of dealing with large measuring deviation and high false alarm rate environment, when compared with other existing track initiation methods. And this is verified by the Monte Carlo simulations.

[1]  LI Qing-xin A Feature Weighted Fuzzy Clustering Algorithm , 2007 .

[2]  Xin Tian,et al.  Heterogeneous track-to-track fusion , 2011, 14th International Conference on Information Fusion.

[3]  Jeffrey K. Uhlmann,et al.  New extension of the Kalman filter to nonlinear systems , 1997, Defense, Security, and Sensing.

[4]  M. Keche,et al.  Adaptive joint probabilistic data association algorithm for tracking multiple targets in cluttered environment , 1997 .

[5]  Pierfrancesco Lombardo,et al.  A modified M/N logic for track initiation of low observable targets using amplitude information , 2006, 2006 International Radar Symposium.

[6]  Y. Bar-Shalom Tracking and data association , 1988 .

[7]  E. D. Evans,et al.  Search radar detection and track with the Hough transform. III. Detection performance with binary integration , 1994 .

[8]  Henry Leung,et al.  Statistical performance analysis of track initiation techniques , 1997, IEEE Trans. Signal Process..

[9]  E. D. Evans,et al.  Search Radar Detection and Track with the Hough Transform , 1994 .

[10]  Amy R. Reibman,et al.  Hough transform and signal detection theory performance for images with additive noise , 1990, Comput. Vis. Graph. Image Process..

[11]  Li Jian-xun Distributed robust fusion of quantized track for target tracking in wireless sensor networks , 2011 .

[12]  S. Koteswara Rao,et al.  Multi-track association and fusion , 2011, 2011 International Conference on Communications and Signal Processing.

[13]  J. Litva,et al.  A modified probabilistic data association filter in a real clutter environment , 1996, IEEE Transactions on Aerospace and Electronic Systems.

[14]  Y. Bar-Shalom,et al.  Tracking in a cluttered environment with probabilistic data association , 1975, Autom..

[15]  Hirokazu Ihara,et al.  A track correlation algorithm for multi-sensor integration , 1987 .

[16]  H.F. Durrant-Whyte,et al.  A new approach for filtering nonlinear systems , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[17]  Xiong Wei Track Alignment-Correlation Technique Based on Phase Correlation , 2010 .