弹载雷达阵列幅相误差校正及目标超分辨技术

Array Gain-Phase Error Calibration and Target SuperResolution for Missile-borne Radar

摘要:

传统波束形成方法受瑞利限约束,不能有效分辨主瓣内的两个目标,在阵列存在幅相误差时,参数估计精度和分辨率都会下降。针对该问题,研究了利用强回波信号校正二维面阵幅相误差的方法,并给出了采用平滑多重信号分类(MUSIC)算法处理相干回波信号的阵列平滑方法。仿真实验证明了幅相误差估计算法的有效性,说明了幅相误差对目标分辨的影响较大,在校正后可以恢复目标角度超分辨性能。

Abstract:

The conventional beamforming method is constrained by the Rayleigh limitand cannot effectively distinguish the two targets in the main lobe. When arrays are affectedby gain-phase errors, the parameter estimation accuracy and resolution will decrease.Aiming at the question, the method of calibrating the gain-phase errors of the twodimensionalarray by using the strong echo signal was studied, and the array smoothingmethod using smoothing multiple signal classification (MUSIC) algorithm to deal withcoherent echo signal was given. Simulations illustrate the effectiveness of the gain-phaseerror estimation algorithm, and show that the gain-phase error has a negative effect on thetarget resolution, and the target angle super resolution performance can be restored aftercalibration.