基于改进匹配追踪算法的风轮机杂波抑制  

Clutter suppression of wind turbines based on improved matching pursuit algorithm

作　　者：张衡[1] 张从胜 吕伟[1] 张一弛 ZHANG Heng;ZHANG Congsheng;LYU Wei;ZHANG Yichi(Air Force Early Warning Academy,Wuhan 430019,China)

机构地区：[1]空军预警学院,武汉430019

出　　处：《空天预警研究学报》2023年第6期398-402,共5页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH

摘　　要：针对风电场中风轮机杂波影响雷达对目标搜索跟踪的问题,提出了一种基于改进匹配追踪算法的风轮机杂波抑制方法.首先对风轮机杂波进行建模;然后针对匹配追踪算法中字典矩阵冗余导致计算量过大的问题,采用人工蜂群算法对字典矩阵中的原子参数进行粗估计,在保证参数精度的同时缩小参数范围形成新字典矩阵,提出了一种改进的匹配追踪算法,并将此算法应用于风轮机杂波抑制;最后进行了仿真验证.仿真结果表明,与传统匹配追踪算法相比,改进匹配追踪算法运算效率提高;不同信噪比下采用改进匹配追踪算法对风轮机杂波进行抑制处理是有效的.In order to solve the problem that wind turbine clutters affect the search and tracking of radar targets,a wind turbine clutter suppression method based on an improved matching pursuit algorithm is proposed.Firstly,the wind turbine clutter model is established.Then to address the problem of excessive computation caused by redundancy in dictionary matrix in traditional matching pursuit algorithm,the Artificial Bee Colony algorithm is used to roughly estimate the atomic parameters in the dictionary matrix.The range of the parameters is reduced to form a new dictionary matrix while the parameter accuracy is ensured.An improved matching pursuit algorithm is proposed and applied to the clutter suppression of wind turbines.Finally,simulation verification is conducted.The results show that the improved matching pursuit algorithm has higher operational efficiency compared with the traditional matching pursuit algorithm,and that it is effective to use the improved matching tracking algorithm to suppress the clutter of wind turbines under different SNR.

关 键 词：风轮机 杂波抑制 匹配追踪算法 雷达 

分 类 号：TN957.51[电子电信—信号与信息处理]