摘要
针对线性调频脉冲压缩雷达参数化检测高速多目标时受到距离徙动、多普勒扩散和速度模糊的影响,该文首先采用联合频域变标脉冲压缩处理与吕方法(2011)实现目标信号的相参积累,然后在其基础上采用基于多普勒频率模糊数搜索的方法完成高速多目标的参数化检测。算法所提出的频域变标脉冲压缩处理可同步完成距离维的徙动补偿与多普勒维的模糊数补偿,降低了实现目标参数化检测的计算复杂度,且由于算法采用相参积累方式,在低信噪比下可以进行精确的目标检测和运动参数估计。相参积累算法运算量分析、计算机仿真以及实测数据处理结果验证了该文所提算法的有效性。
Detecting high-speed multi^target is affected by range migration, Doppler spread and velocity ambiguity in the linear frequency modulation pulse compression radar. In order to solve these problems, the joint frequency-domain scaling pulse compression processing and Lv＇s Method （LvM, 2011） is utilized to realize coherent integration of target signal firstly. And then, parametric detection for high-speed multi-target is completed with Doppler frequency ambiguity searching based method. The computationM load of target parametric detection is reduced by the proposed frequency-domain scaling pulse compression processing, which can compensate range migration and Doppler frequency ambiguity simultaneously. The performance of the target detection and moving parameters estimation is improved owing to the utilization of the coherent integration in low signal-to-noise ratio. With the computational load analysis, computer simulation and raw radar data results, the validity of the proposed algorithm is demonstrated.
出处
《电子与信息学报》
EI
CSCD
北大核心
2013年第2期381-387,共7页
Journal of Electronics & Information Technology
基金
国家自然科学基金(61001204)资助课题
关键词
目标检测
运动参数估计
频域变标脉冲压缩处理
吕方法
相参积累
Target detection
Moving parameters estimation
Frequency-domain scaling pulse compression processing
Lv＇s Method （LvM）
Coherent integration
