毫米波阵列雷达近场动目标参数估计算法

Algorithm for estimating the near-field moving target parameter of millimeter-wave array radar

在毫米波连续波阵列雷达系统中,根据近场各动目标多普勒频率的不同,提出了一种近场动目标多普勒频率、距离及方位三维参数估计算法。首先采用全相位快速傅里叶变换(all phase fast Fourier transform,apFFT)方法估计回波信号频谱,并使用相位差频谱校正法对目标多普勒频率进行校正。全相位FFT方法所得相位谱为信号的初始相位,各通道之间对应信号的相位关系包含了目标的位置信息,采用二维多重信号分类(twodimensional multiple signal classification,2-D MUSIC)方法就可从各目标对应多普勒频率的复幅度中估计出目标的距离及方位参数。计算机仿真结果证明了该算法的有效性。

According to the different Doppler frequencies,an efficient algorithm for Doppler frequencies, ranges and bearings three dimensional parameters estimation of near-field moving targets is presented for the millimeter continuous wave array radar system.Firstly,the frequency of target echo is estimated using all phase fast Fourier transform（apFFT）method.Then the Doppler frequencies estimations are corrected using phase difference correcting spectrum method.Finally,for the phase spectrum of apFFT containing the position information of the target,the range and bearing of each target is estimated employing two dimensional multiple signal classification（2-D MUSIC）algorithm.Simulation results show the validity of the algorithm.