基于遗传矩阵伴随求逆算法的抗干扰技术

发布时间：2018-03-20 00:01

本文选题：卫星导航　切入点：抗干扰　出处：《系统工程与电子技术》2017年08期 　论文类型：期刊论文

【摘要】：为有效克服权值失配引起波束畸变的影响,提升卫星导航抗干扰的能力,提出了一种遗传矩阵伴随求逆算法,并用硬件实现了该算法。该算法利用上个时刻的协方差矩阵,结合新环境的特征估计下个时刻的协方差矩阵,使矩阵之间具有遗传特性,估算得到稳健的权值。1 000次蒙特卡罗仿真表明,该算法与采样矩阵求逆算法相比,具有更好的鲁棒性,波束畸变形成寄生零陷的增益平均深度减少了15dB,降低了在抑制干扰时对卫星信号的影响。实测中,该算法相较于采样矩阵求逆算法对双干扰的抑制干信比提升了7~9dB。仿真和实测的结果表明,该算法对卫星导航抗干扰性能改善效果明显。
[Abstract]:In order to overcome the influence of beam-distortion caused by weight mismatch and improve the anti-jamming ability of satellite navigation, a genetic matrix adjoint inverse algorithm is proposed and implemented by hardware. The algorithm uses the covariance matrix of the last time. Combining the characteristics of the new environment to estimate the covariance matrix at the next moment, the genetic characteristics between the matrices are obtained. The Monte Carlo simulation of the robust weight of 1.1000 times shows that the algorithm is compared with the inverse algorithm of the sampling matrix. With better robustness, the gain average depth of beam-distortion forming parasitic zero trapping is reduced by 15 dB, and the influence on satellite signal in suppressing interference is reduced. Compared with the sampling matrix inverse algorithm, this algorithm improves the ratio of interference suppression to dual interference by 7dB. The simulation results and the measured results show that the algorithm can improve the anti-jamming performance of satellite navigation obviously.
【作者单位】：哈尔滨工程大学信息与通信工程学院;
【基金】：国家自然科学基金(61371172,61403093)资助课题
【分类号】：TN967.1;TN973.3

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