基于空域调制效应的干扰极化参数估计

干扰极化估计精度是影响雷达极化抗干扰能力的重要因素,而雷达天线空域极化特性存在一定的病态性,使来波极化估计的最小二乘解在病态情况下变得不稳定. 针对最小二乘方法估计来波极化所存在的病态性问题,提出一种改进极化矢量估计的约束最小二乘方法.首先分析影响来波极化估计稳定性的因素,针对具体的天线型式给出病态情况下的计算机仿真结果,推导了带二次约束的极化估计最小二乘解并给出了算法流程. 仿真结果表明了改进极化估计均方误差的有效性,该方法可显著提高干扰极化估计精度,提高雷达极化抗干扰能力.

Polarization Estimation of Received Interference Signal Based on Spatial Modulation Effect

Precision of interference polarization estimation is a major factor influencing radar polarization anti-jamming capability. To a certain extent, the spatial polarization characteristic (SPC) of radar is ill-conditioned, resulting in unstable solution to the estimation of received wave polarization. A least squares method with a quadratic constraint is presented to estimate polarization of the received wave. It treats the ill-conditioning problem in estimating the polarization state based on least square methods. Factors affecting stability of polarization estimation are analyzed, with computer simulation results in ill-conditioned cases for particular antenna forms. Theoretical analysis is then made and algorithmic steps given according to the principle of the proposed method. The simulation shows that the method can significantly reduce variance of polarization estimation so as to improve the estimation accuracy, useful in improving radar polarization anti-jamming capability.