Title :
Improved integrated cubic phase function based on the NUFFT
Author :
Wentao Zhu ; Tao Su ; Jibin Zheng
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
For the modern radar signal processing, the non-searching based methods have more advantages than the searching based methods. In this paper, the nonuniform fast Fourier transform (NUFFT) is adopted to improve the integrated cubic phase function (ICPF), which requires only 1-D maximization. Compared with the conventional processing method of the ICPF, the proposed NUFFT based processing method eliminates the searching procedure, and is more suitable for the situation, where the chirp rate (CR) is the only parameter of interest. The analyses and simulations on the synthetic models demonstrate the effectiveness of the proposed NUFFT based processing method.
Keywords :
Fourier transforms; radar signal processing; CR; ICPF; NUFFT based processing method; chirp rate; integrated cubic phase function; nonuniform fast Fourier transform; radar signal processing; searching based methods; searching procedure; synthetic models; Analytical models; Doppler effect; Fast Fourier transforms; Parameter estimation; Radar signal processing; Radar signal processing; chirp rate; integrated cubic phase function; nonuniform fast Fourier transform;
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-2188-1
DOI :
10.1109/ICOSP.2014.7015333