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作 者:秘运鹏 张云华 杨杰芳 MI Yunpeng;ZHANG Yunhua;YANG Jiefang(CAS Key Laboratory of Microwave Remote Sensing,National Space Science Center,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China)
机构地区:[1]中国科学院国家空间科学中心中国科学院微波遥感技术重点实验室,北京100190 [2]中国科学院大学,北京100049
出 处:《现代雷达》2025年第2期66-71,共6页Modern Radar
基 金:国家自然科学基金面上资助项目。
摘 要:机动目标回波在长时间相参积累(CI)时会产生严重的距离徙动和多普勒徙动问题,影响雷达的检测性能。针对该问题,文中提出了一种基于自相关函数的CI和检测的快速算法。首先,利用快时间频域信号构造自相关函数校正距离徙动,使目标能量聚在同一距离单元格内;然后,提取该距离单元格内的慢时间维信号,利用对称自相关函数和变尺度傅里叶变换获得机动目标的加速度和不模糊速度;最后,利用所估计的参数对目标回波进行运动补偿从而实现CI和目标检测。与现有的典型算法相比,文中算法的计算复杂度明显降低。仿真实验和实际雷达试验均验证了所提算法的有效性,展示了对目标运动参数估计和目标检测的良好性能。The coherent integration(CI)of echoes of maneuvering target usually suffers from severe range migration and Doppler frequency migration problems,especially when long-time CI is required,leading to serious degradation of performance on detection.To address these problems,a novel fast coherent integration algorithm is proposed based on the autocorrelation function in this paper.First,the range migration is corrected by the autocorrelation function constructed from the fast time frequency domain signal,after which the target energy is concentrated within a single range cell;then the slow time dimensional signal within this range cell is extracted and the acceleration and unambiguous velocity of the maneuvering target are obtained by using the symmetric autocorrelation function and scaled Fourier transform;finally,motion compensation is performed on the target echo using the estimated parameters to achieve CI and target detection.Compared with existing typical algorithms,the computational complexity of the proposed algorithm is much lower.Both simulation and practical radar experiments are conducted to validate the proposed algorithm,and the results show that the motion parameters can be accurately estimated and the maneuvering targets can be effectively detected.
分 类 号:TN957.51[电子电信—信号与信息处理]
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