Parameters Estimation of Air Maneuvering Target Based on Compressive Sensing and Cubic Phase Transform
Li Hai①② Zheng Jing-zhong① Zhou Meng① Wu Ren-biao①
①(Tianjin Key Lab for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China) ②(School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, Australia, 999029)
A novel and low complexity algorithm is proposed to estimate the parameters of air maneuvering target based on Compressive Sensing (CS) and Cubic Phase Transform (CPT). First of all, CPT is utilized to separate the two parameters of the maneuvering target. Then, CS is used to estimate the parameters according to the properties of sparse signal in the time-frequency domain. The proposed algorithm can acquire precise parameter estimation with limited pulses in a coherent processing interval for airborne radar. The effectiveness of the proposed algorithm is verified by the numerical simulations.
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