一种导航宽带抗干扰中的阵列幅相误差校正算法

针对复杂电磁环境下抗干扰导航接收机中存在的幅相误差问题,提出一种幅相误差有源校正的导航接收机抗干扰算法;该算法通过干扰和幅相误差构建阵列幅相误差数学模型;然后基于加权子空间拟合原理和最小二乘的方法估计阵列幅相误差系数;最后利用线性约束最小方差(LCMV)算法对修正的之后的接收数据进行干扰的抑制;并明确提出了导航抗干扰接收机的通道修正的解决方案。理论分析和仿真实验表明,估计的幅相误差系数与实际幅相误差非常接近;此方法可以准确在干扰方向上形成零陷并保留导航信号;信噪比在-10 d B的时候,幅相误差估计值逐渐收敛于真实值;并且随着信噪比的增加幅相误差估计精度也逐渐提高。所提算法能有效提高存在幅相误差通道的抗干扰的性能。

An Array Error Correction Algorithm for Navigation Wideband Interference Suppression

Focusing on the problem of amplitude-phase error contained in anti-jamming navigation receivers in complex electromagnetic environment, an anti-jamming algorithm with active amplitude-phase error correction was proposed. Firstly, a mathematical feature model was built by fusing array amplitude-phase error and interference parameters. Then based on the principle of signal subspace fitting, the least-squares method was used to estimate the array amplitude-phase error coefficient matrix. Finally, the interference of the corrected was suppressed by using Linearly Constraint Minimum Variance (LCMV) algorithm. Channel correction solution for navigation anti-jammer receivers was clearly proposed. In the simulation experiments, the estimated amplitude-phase error coefficient is close to the actual amplitude-phase error value. The null is formed in the interference direction accurately and the useful signal is kept. The amplitude-phase error estimation gradually converges to the true value at signal-to-noise ratio (SNR) of -10 dB, and with the increase of the signal-to-noise ratio the estimation accuracy is gradually increased. The proposed algorithm can effectively improve the robustness of the anti-jamming.