摘要: |
针对窄带雷达旋翼微动特征参数提取问题,研究了一种变步长的微动目标参数高精度提取方法。首先提取出脉压后旋翼目标所在距离单元内的回波,通过时频分析和骨架提取,对旋翼最大瞬时微多普勒频率进行估计;然后利用最大瞬时微多普勒频率等先验信息,对转速搜索矩阵进行降维处理,将微动目标尺寸参数和转速参数的二维联合估计转化为独立估计,并采用变步长搜索过程实现参数的精确估计;最后,通过能量积累的方法估计出旋翼转速,再进一步提取出目标的尺寸信息。仿真结果验证了所提方法的可行性和有效性。 |
关键词: 微动 骨架提取 降维 变步长 特征提取 |
DOI:DOI:10.3969/j.issn.1672-2337.2019.05.006 |
分类号:TN958.3 |
基金项目:国家自然科学基金(No.61671469) |
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A Variable Step High Accuracy Extraction Algorithm for Micro Motion Target Parameters |
XIA Saiqiang,XIANG Long,ZHU Mingshuo,CHEN Wenfeng,YANG Jun
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Air Force Early Warning Academy,Wuhan430019,China
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Abstract: |
Aiming at the extraction problem of micro motion parameters in narrow band radar,a variable step high accuracy extraction algorithm for micro motion target parameters is studied. Firstly,the echoes in the range bin where the rotor target is located after pulse compression are selected,and the maximum instantaneous micro Doppler frequency of the rotor target is estimated by time frequency analysis and skeleton extraction method. Then,the maximum instantaneous micro Doppler frequency is used as the prior information to reduce the dimension of speed search matrix,which converts the two dimensional joint estimation of rotor length parameters and rotating speed parameters into independent estimation. The variable step search process is used to achieve accurate estimation of parameters. Finally,the rotating speed is estimated by energy accumulation,and the rotor length is extracted furtherly. The simulation results verify the feasibility and effectiveness of the proposed algorithm. |
Key words: micro motion skeleton extraction dimensionality reduction variable step feature extraction |