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Spatially Distributed Target Detection Based on EM Algorithm and Information-Theoretic Criteria |
Li Tao; Feng Da-zheng; Xia Yu-yin |
National Lab for Radar Signal Processing, Xidian University, Xi’an 710071, China |
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Abstract A new detection algorithm based on Expectation Maximization (EM) algorithm and information- theoretic criteria for a spatially distributed, range walking and rotating target during a Coherent Processing Interval (CPI) are proposed. The proposed detector is acquired by estimating signal from every range cell in each given velocity through the information-theoretic criteria and EM method and utilizing the characteristics of strong scattering cells relevant to the target’s scattering geometry and the correlation of adjacent given velocities. Furthermore , Constant False Alarm Rate (CFAR) property with respect to the unknown noise power is proved. Finally, experimental results for measured data of two planes illustrate that the proposed algorithm achieve a visible performance improvement comparing with conventional GLRT and non-coherent integration.
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Received: 07 April 2009
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Corresponding Authors:
Li Tao
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