基于GSWD-Viterbi的弹道目标微动特征提取算法  

Micro-motion Feature Extraction Algorithm of Ballistic Target Based on GSWD-Viterbi

作　　者：李靖卿 冯存前[1] 贺思三[1] 唐东丽 

机构地区：[1]空军工程大学防空反导学院,西安710051

出　　处：《弹箭与制导学报》2015年第6期94-97,共4页Journal of Projectiles,Rockets,Missiles and Guidance

基　　金：国家自然科学基金(61372166);陕西省自然科学基金(2014JM8308)资助

摘　　要：针对弹道目标信号分量多、噪声敏感性强以及各散射点强度变化范围大的问题,提出一种新的弹道目标微多普勒特征提取算法。在滑动模型的基础上,首先在时域进行GSWD变换,然后通过Viterbi算法依次提取出各信号分量,最后利用逆S变换在时域内重构信号来实现降噪,并运用求和平均误差补偿方法求出目标的微多普勒信息。结果表明,该方法抗噪性好,较为准确的提取出弹道目标的微多普勒参数。Since ballistic targets have several inherent problems such as multi-component, strong noise sensitivity and great dynamic charac- teristics of scattering point＇ s intensity, a new feature extraction algorithm of ballistic target was proposed. The time-frequency distribution of target was firstly analyzed by the generalized S-Wigner distribution （GSWD） based on the micro-motion models of sliding scattering cen- ter. Then, the instantaneous Doppler frequency was orderly obtained by Viterbi algorithm. Lastly, the signal of time field was rebuilt by the adverse S transform to reduce the noise, and the micro-Doppler information of the target was extracted by the sum-mean error compensation method. The result indicates that the method can get precious micro-Doppler parameters of ballistic targets and has good capability of antinoise.

关 键 词：GSWD VITERBI算法 弹道目标 特征提取 

分 类 号：TN957[电子电信—信号与信息处理]