赵燕,龙桂铃.一种改进的复合运动空间目标微动周期估计方法[J].电子测量与仪器学报,2020,34(2):60-66 |
一种改进的复合运动空间目标微动周期估计方法 |
Improved micro-motion period estimation method for space targets with compound motion |
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DOI: |
中文关键词: 进动 微多普勒 参数估计 |
英文关键词:compound motion micro motion translation period estimation |
基金项目:江西省教育厅科技项目(GJJ161042,GJJ161677)资助 |
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中文摘要: |
提出一种基于Viterbi算法与时频差值平方和序列的微动周期估计方法。雷达目标的微动状态与目标动力、结构高度相关,不同目标具有显著的差异性,反映了目标的重要信息,可用于辅助目标探测及识别,具有重要作用。在雷达目标微动特性的研究中,诸如导弹等空间目标是研究的热点,目前已发表了大量关于空间目标的微动特征提取方法。对空间目标,其通常是平动与微动相耦合的复合运动目标,在进行微动特征提取时需考虑平动的影响。针对复合运动空间目标进行研究,提出一种基于Viterbi算法与时频差值平方和序列的微动周期估计方法,其中Viterbi算法可在低信噪比情况下目标瞬时多普勒的鲁棒估计,时频差值平方和序列则能够有效去除目标平动的影响,所提方法具有良好的估计性能。仿真结果验证了估计方法的有效性。 |
英文摘要: |
Problem: A micro motion period estimation based on the Viterbi algorithm and the time frequency squared difference sequence is proposed. Procedure and method: The micro motion states of the radar target is dependent on the dynamics, structure of the target, and they are usually different for different targets. As a result, the micro motion states reflect some important information of the target and can be used to aid the target detection and recognition, which has a great importance. In the research of the micro motion features, space targets such as missile are hot points. Numerous micro motion feature extraction methods for space targets are published. Usually, the motion of the space target is compound of the translation and the micro motion. The implication of the translation on the micro motion feature extraction should be considered. This work focuses on the space target with compound motion. A micro motion period estimation based on the Viterbi algorithm and the time frequency squared difference sequence is proposed, in which the Viterbi algorithm can provide robust instantaneous Doppler estimation in low signal to noise ratio (SNR) and the time frequency squared difference sequence can remove the effect of the translation. Thus, the proposed method has a good performance. Results: Numerical results prove the effectiveness of the proposed method. |
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