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中文摘要：
目标的微动特性是目标的固有属性,其产生的微多普勒现象提供了多目标分辨与识别的新途径。该文针对高噪声背景下的微动多目标分辨问题,提出了一种新的基于B分布和Viterbi算法的多目标多普勒特征提取方法。该方法在高噪声环境下,将B分布和Viterbi算法进行有机结合,提取多目标微多普勒特征,进而对多目标进行分辨。基于仿真数据的试验结果表明：在高噪声背景下,该方法可以有效地提取多目标微动参数特征,实现多目标分辨。
英文摘要：
Micro-motion offers a new method to resolute targets and recognition.In order to implement micro-motion targets resolution in a high noise environment,the paper proposes a novel method based on B-Distribution（BD） and Viterbi algorithm.In this paper,an effective time-frequency BD in conjunction with the Viterbi algorithm for instantaneous frequency estimation is applied to extract the multi-targets micro-Doppler,and then implement resolution.in a high noise environment.Simulation results based on synthetic data show that the method is able to extract the micro-motion parameters of targets and implement the multi-targets resolution in a high noise environment.
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Noise Robust Radar HRRP Target Recognition Based on Multitask Factor Analysis With Small Training Da
Target statistical correlation characteristic for spatial-frequency jointly diversity multiple-input
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