基于发射分集的MIMO雷达相参信号处理方法

针对多个运动的慢起伏目标情况,研究了发射分集多入多出(multiple input multiple output,MIMO)雷达的相参信号处理方法.提出了一种重复利用回波数据的目标参数估计算法.发射分集MIMO雷达的发射阵元间距满足空间分集条件,其接收端采用阵元间距为半波长的均匀线阵.按距离门对其回波信号进行脉压-Capon谱估计,可提取出各目标对应不同发射阵元的初步位置信息.然后利用回波数据及目标的初步位置信息,把同一目标对应不同发射阵元的脉压数据矢量经多普勒频移和相位补偿后相加,再进行Capon谱估计,获得高精度的目标方位角估计值.仿真结果表明,该算法可对雷达观测区域内的多个动目标进行高精度定位.

Method of coherent signal processing for MIMO radar based on transmitting diversity

Aiming at multiple moving targets with slow fluctuations,a method of coherent signal processing for multiple input multiple ontput(MIMO) radars based on transmitting diversity is studied,and a parameter estimation algorithm reusing echo signals is proposed.The transmitting antennas are widely spaced to satisfy the demands of spatial diversity with respect to the targets,while the receiver is a uniform linear array(ULA) with an interval of half-wavelength between array elements.After processing the echo signals along each range gate by a pulse compression-Capon estimation algorithm,the preliminary information resulted from various transmitting array elements corresponding to the different targets are acquired.Then,using the echo signal and the preliminary information of target positions once again,the pulse compression data vectors generated from various transmitting array elements corresponding to the same target are added via Doppler frequency shift and phase compensation.Finally,the highly precise estimation of target azimuths is obtained by processing the added pulse compression data vector with Capon algorithm again.Simulations show that the algorithm is effective for moving multi-targets localization and has high localization precision.