Zheng Ji-Bin, Zhu Wen-Tao, Su Tao, He Xue-Hui. Novel Algorithm for Fast Parametric Detection of High-speed Multi-target[J]. Journal of Electronics & Information Technology, 2013, 35(2): 381-387. doi: 10.3724/SP.J.1146.2012.00843
Citation:
Zheng Ji-Bin, Zhu Wen-Tao, Su Tao, He Xue-Hui. Novel Algorithm for Fast Parametric Detection of High-speed Multi-target[J]. Journal of Electronics & Information Technology, 2013, 35(2): 381-387. doi: 10.3724/SP.J.1146.2012.00843
Zheng Ji-Bin, Zhu Wen-Tao, Su Tao, He Xue-Hui. Novel Algorithm for Fast Parametric Detection of High-speed Multi-target[J]. Journal of Electronics & Information Technology, 2013, 35(2): 381-387. doi: 10.3724/SP.J.1146.2012.00843
Citation:
Zheng Ji-Bin, Zhu Wen-Tao, Su Tao, He Xue-Hui. Novel Algorithm for Fast Parametric Detection of High-speed Multi-target[J]. Journal of Electronics & Information Technology, 2013, 35(2): 381-387. doi: 10.3724/SP.J.1146.2012.00843
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 Lvs 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 computational 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.