Title :
Parameter estimation of accelerating target based on direct phase differentiation method in LFMCW radar
Author :
Hui Xiao ; Wei-Dong Hu ; Wen-xian Yu
Author_Institution :
Sch. of Electron. Sci. & Eng., Nat. Univ. of Defense Technol., Changsha
Abstract :
To solve the parameter estimation problem of accelerating target in LFMCW (linear frequency-modulated continuous wave) radar while MTRC (migration through range cell) occurs, a direct phase differentiation method is proposed. By direct phase differentiation operation along the slow time dimension, the linear coupling of fast time and slow time is successfully removed, as well as the phase order reduction of the slow time dimension. Two dimensional FFT (fast Fourier transform) processing is carried out to the differentiated signal, and acceleration estimation can be achieved, along with the coarse estimation of the initial velocity. Then the up-sweep and down-sweep beat signals are multiplied by the compensation functions which are constructed based on the estimated parameters, respectively, and initial range and velocity can be accurately obtained through decoupling operation. Detail performances are analyzed, including the acceleration resolution, the maximum unambiguous acceleration and the SNR (signal-to-noise ratio) improvement factor. It shows that the proposed method has lower SNR threshold than secondary mixing combined DPT (discrete polynomial-phase transform) processing. Simulation results testify the efficiency of the method.
Keywords :
CW radar; FM radar; differentiation; discrete transforms; fast Fourier transforms; parameter estimation; radar signal processing; DPT processing; LFMCW radar; acceleration estimation; compensation function; direct phase differentiation method; discrete polynomial-phase transform; fast Fourier transform; linear coupling; linear frequency-modulated continuous wave radar; parameter estimation; two dimensional FFT processing; velocity coarse estimation; Acceleration; Fast Fourier transforms; Frequency estimation; Parameter estimation; Performance analysis; Radar; Signal analysis; Signal processing; Signal resolution; Signal to noise ratio;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4608171