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 forspace targets with compound motion

作　　者：赵燕[1] 龙桂铃[2] Zhao Yan;Long Guiling(Henan College of Transportation,Zhengzhou 450000,China;Yichun University,Yichun 336000,China)

机构地区：[1]河南交通职业技术学院,郑州450000 [2]宜春学院,宜春336000

出　　处：《电子测量与仪器学报》2020年第2期60-66,共7页Journal of Electronic Measurement and Instrumentation

基　　金：江西省教育厅科技项目(GJJ161042,GJJ161677)资助。

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。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.

关 键 词：进动 微多普勒 参数估计 

分 类 号：TN957.51[电子电信—信号与信息处理]