Abstract：An important standard to measure the effectiveness of radar acquisition systems is the accuracy of target parameter estimation. To solve the estimation problem, the echo model of moving targets is established and the FRactional Fourier Transform (FRFT) is subsequently used to estimate the acceleration; further, data fusion is used to raise estimation accuracy. Finally, Range Cell Migration (RCM) and Doppler ambiguity are solved by using the Keystone transform and the ambiguity channels based on the estimated acceleration. The simulation results show high accuracy, complexity, and noise robustness.
田瑞琦, 鲍庆龙, 王丁禾, 陈曾平. 基于FRFT与Keystone变换的运动目标参数估计算法[J]. 雷达学报, 2014, 3(5): 511-517.
Tian Rui-qi, Bao Qing-long, Wang Ding-he, Chen Zeng-ping. An Algorithm for Target Parameter Estimation Based on Fractional Fourier and Keystone Transforms. JOURNAL OF RADARS, 2014, 3(5): 511-517.
