航空用全向信标空间调制信号干扰补偿控制系统设计

Interference Compensation Control Method for Space Modulation Signal of Omnidirectional Beacon for Aviation

摘要:

随着航空运输业的快速发展,航空系统的安全性与精确性变得愈加重要；研究对航空导航系统中复杂电磁环境下DVOR信号的抗干扰问题,提出了一种基于空间调制信号与智能干扰补偿的DVOR监控系统；采用多通道ADC+FPGA+DSP架构,集成高精度采集与CPLD控制模块,实现关键参数实时监测；通过STFT与孪生神经网络融合算法,结合多时频特征提取与归一化增强策略,有效识别并补偿同频、邻频、带外及互调干扰；实验结果显示,在同频干扰条件下,信号的SNR从补偿前的5.23 dB提升至11.54 dB,误码率从0.15降低至0.05,频率误差减少到了0.31 Hz；此外,在干扰识别准确率方面,互调干扰条件下的识别准确率最高,为97.76%；结果表明,研究所提方法能满足航空导航系统在复杂干扰环境下的性能要求,为航空导航系统提供了可靠的干扰抑制解决方案。

Abstract:

With the rapid development of the air transportation industry, the safety and accuracy of the aviation system have become increasingly important. A DVOR monitoring system based on spatial modulation signals and intelligent interference compensation is proposed to study the anti-interference problem of DVOR signals in complex electromagnetic environments in aviation navigation systems. Adopting a multi-channel ADC+FPGA+DSP architecture, integrating high-precision acquisition and CPLD control modules to achieve real-time monitoring of key parameters. Through the fusion algorithm of STFT and Siamese neural network, combined with multi temporal frequency feature extraction and normalization enhancement strategy, effectively identify and compensate for co frequency, adjacent frequency, out of band, and intermodulation interference. The experimental results showed that under the same frequency interference conditions, the SNR of the signal increased from 5.23 dB before compensation to 11.54 dB, the bit error rate decreased from 0.15 to 0.05, and the frequency error decreased to 0.31 Hz. In addition, in terms of interference recognition accuracy, the recognition accuracy under intermodulation interference conditions was the highest, at 97.76%. The results indicate that the proposed method can meet the performance requirements of aviation navigation systems in complex interference environments, providing a reliable interference suppression solution for aviation navigation systems.