基于EM算法和信息论准则的分布式目标检测算法
doi: 10.3724/SP.J.1146.2009.00493
Spatially Distributed Target Detection Based on EM Algorithm and Information-Theoretic Criteria
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摘要: 该文针对在相干积累期间发生距离走动且转动较快的分布式目标检测问题，提出了一种基于EM算法和信息论准则的改进广义似然比检测算子。采用信息论准则与期望极大化方法对不同预设速度下各个距离单元的信号参数进行估计，并进一步利用目标相邻强散射单元特性和相邻预设速度相关性，推导出改进的广义似然算子，随后证明了该算法的恒虚警率特性。两类飞机实测数据的多个实验结果表明，该算法性能相对于传统的广义似然算法和非相干积累算法有明显的提高。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 targets 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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