基于Hession矩阵稳定性统计点的通信抗干扰算法

Communication Anti-interference Algortihm Based on Stability Statistics of Hession Matrix

为确保无线通信的可靠性,提出一种有效的基于盲源分离算法的无线通信系统抗干扰算法。针对扩频通信系统进行建模设计,算法使用Hessian矩阵判定得到的有用解是否为最值点,作为信噪分离过程稳定性的判定统计点,作权系数的修订,对扩频通信系统中的盲源分离算法进行了建模,改善扩频通信系统受到复杂电磁环境干扰性能。仿真实验表明通过新的盲源分离抗干扰算法,整个扩频通信系统的信噪比以及抗干扰性能得到了很大的提高,与传统小波处理以及统计信噪分离算法相比,整体信噪比平均提高了4 dB,展示了算法在扩频通信中具有较好的抗干扰性能,在无线通信抗干扰系统设计中具有较好的实际应用价值。

In order to improve the effect and relibility of wireless communication, an improved anti-interference algorithmbased on blind resouce serperation method was proposed. The spread spectrum communication system was modelined anddesigned, the algorith used the Hessian matrix to etermine whether the value point was the useful solution, and the optimalsolution was used as the stability statistics dermination point for modifying the weight coefficient. The improved algorithmand model for the blind source separation algorithm in spread spectrum communication system was designed and the performance of anti-interference was improved. Simulation result shows that new method can improve the anti-interference performance and improve the SNR of all the system greatly. The overall SNR can improve 4dB comparing to the traditionalmethod. It shows that prospective application value in wirless communication system design with good anti-interferenceperformance.