Radar high precision range estimation method based on iterative polynomial interpolation
To solve the problem of deficiency ranging precision of millimeter-wave radar for multi-targets scenes due to the influence of inter-spectral interference,an iterative polynomial interpolation method for estimating the high-precision distance parameters of radar is proposed. Firstly,the fast Fourier transform(FFT)and cell average-constant false alarm rate(CA-CFAR)fusion algorithm are used to estimate the number of targets and corresponding spectral positions at different distances. Secondly,information of the obtained target spectral position is iteratively processed to reduce the spectral interference between multiple targets in each processing process. Finally,the estimated deviation of the true frequency is obtained through polynomial interpolation,so as to obtain the target distance estimation with high precision. The simulation and actual measuremental results show that the distance estimation precision of this method is improved to within 0. 05 m compared with the Hamming-Window algorithm when the multi-target scene and the signal-to-noise ratio(SNR)are less than 20 dB.