Detection and Parameter Estimation of Air Maneuvering Targets via Reconstructing Time Samples
Wu Ren-biao① Wang Xiao-han① Li Hai① Wang Dong-mei②
①(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China) ②(Southwest Regional Air Traffic Management Bureau of Civil Aviation of China, Chengdu 610202, China)
Abstract：Space-Time Adaptive Processing (STAP) is an effective method for moving target detection in airborne radar. However, the Doppler frequency will change with time when the target has strong maneuvering, which would degrade the coherent integration performance of STAP significantly. For the detection and the parameter estimation of air maneuvering targets, a new algorithm is proposed in this paper, which combines STAP with FRactional Fourier Transform (FRFT). Space samples are used to reconstruct the time samples, which is equivalent to increasing the number of time samples within a Coherent Processing Interval (CPI). Consequently, the problem of the poor estimation performance by using the FRFT, which is caused by the limited number of time samples of airborne radar within a CPI, can be resolved. Numerical examples are provided to demonstrate the performance of the proposed algorithm.
吴仁彪, 王小寒, 李海, 王冬梅. 基于重构时间采样的空中机动目标检测与参数估计[J]. 电子与信息学报, 2012, 34(4): 936-942.
Wu Ren-Biao, Wang Xiao-Han, Li Hai, Wang Dong-Mei. Detection and Parameter Estimation of Air Maneuvering Targets via Reconstructing Time Samples. , 2012, 34(4): 936-942.
2012, Vol. 34 
