高噪声环境下微动多目标分辨

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。

Micro-motion Targets Resolution in a High Noise Environment

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.