Parameters Estimation of High Speed Targets Based on Frequency Domain Super-resolution
WANG Zhao①② WANG Pengyi① SU Weimin② WANG Wei① DU Bingxin①
①(The 54th Research Institute of China Electronics Technology Group Corporation, Shijiazhuang 050081, China) ②(School of Electronic Engineering & Optoelectronic Technology, Nanjing University of Science & Technology, Nanjing 210094, China)
To solve the contradiction between estimation performance and computation burden, when detecting high speed target in wideband noise radar, a novel method based on Frequency Domain Supper-Resolution (FDSR) is proposed for parameter estimation. Firstly, a group of component noise frequency modulation signals with different phase information are obtained by setting different fixed delay, and the Doppler phase difference group is constructed through matched filtering without scaling transform. Then according to the similarity of Doppler phase difference group and array signal processing, the velocity is acquired through modern spectrum estimation algorithm, and the range is calculated by scaled matched filtering after Doppler compensation. In this method, the velocity is obtained without considering Doppler dispersion and the time-domain reconstruction is used only once in the whole algorithm. The computation burden and estimation performance both superior to wideband cross ambiguity function algorithm based on curve fitting, when the fixed delay and group number of Doppler phase difference group are appropriately selected. The effectiveness of this algorithm is validated by simulation results.
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