基于自适应滤波的民航导航通信干扰检测系统设计

针对目前使用的民航导航通信干扰检测系统受到背景噪声与电磁干扰信号重叠影响，导致干扰检测结果不精准的问题，提出了基于自适应滤波的民航导航通信干扰检测系统设计。使用多信道检测接收机，将接收结果经过PCI接口传送给上位机。使用测向天线阵，捕获来自其他天线阵元的信号幅值、相位。使用由三个垂直磁阻传感器组成的电子罗盘，测量X、Y、Z方向的电磁干扰，经过A/D转换器放大处理和主机检测后，完成硬件结构设计。计算系统输出结果，结合自适应滤波处理技术，整理自适应滤波的加权矢量，彻底分离开噪声信号与电磁信号，避免噪声干扰。计算相位差，并对其进行矢量化处理，获取多组载波相位差，确定干扰信号的数值和方向，完成通信干扰检测。由实验结果可知，该系统在同频干扰、临频干扰情况下，信号波动的-0.2-0.4和-0.8-0.7幅值均与实际干扰信号波动幅值一致，具有精准检测结果。

Design of civil aviation navigation communication interference detection system based on adaptive filtering

Aiming at the problem that the currently used civil aviation navigation communication interference detection system is affected by the overlapping of background noise and electromagnetic interference signals, resulting in inaccurate interference detection results, a design of civil aviation navigation communication interference detection system based on adaptive filtering is proposed. The multi-channel detection receiver is used, and the received result is transmitted to the upper computer through the PCI interface. Use direction finding antenna arrays to capture the amplitude and phase of signals from other antenna array elements. The electronic compass composed of three vertical magnetoresistive sensors is used to measure the electromagnetic interference in the X, Y and Z directions, and the hardware structure design is completed after A/D converter amplification processing and host detection. Calculate the output result of the system, combine the adaptive filtering processing technology, sort out the weighted vector of the adaptive filtering, completely separate the noise signal from the electromagnetic signal, and avoid noise interference. Calculate the phase difference, perform vectorization processing on it, obtain multiple groups of carrier phase differences, determine the value and direction of the interference signal, and complete the communication interference detection. It can be seen from the experimental results that in the case of co-frequency interference and adjacent frequency interference, the amplitudes of -0.2-0.4 and -0.8-0.7 of the signal fluctuation are consistent with the fluctuation amplitude of the actual interference signal, and the detection results are accurate.