高噪声环境下微动多目标分辨

关永胜; 左群声; 刘宏伟

doi:10.3724/SP.J.1146.2009.01348

高噪声环境下微动多目标分辨

doi: 10.3724/SP.J.1146.2009.01348

关永胜^{①② 左群声,},
左群声,
刘宏伟

基金项目:

长江学者和创新团队发展计划(IRT0954)，国家自然科学基金(60772140，60901067)和国家部委基金资助课题

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- 文章访问数: 3644
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- 被引次数: 0
出版历程
- 收稿日期: 2009-10-19
- 修回日期: 2010-07-20
- 刊出日期: 2010-11-19

Micro-motion Targets Resolution in a High Noise Environment

Guan Yong-Sheng^{①② 左群声
,},
Zuo Qun-Sheng,
Liu Hong-Wei

摘要

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。
- 多目标分辨 /
- 微动 /
- 微多普勒 /
- Viterbi算法 /
- 高噪声
Abstract: 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.
- Multi-target resolution /
- Micro-motion /
- Micro-Doppler /
- Viterbi algorithm /
- High noise environment

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参考文献(1)

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