能量特征在ADS-B信号译码中的应用  

Application of Energy Feature in ADS-B Signal Decoding

作　　者：冯海涛 高勇[1] FENG Haitao;GAO Yong(Sichuan University,Chengdu Sichuan 610065,China)

机构地区：[1]四川大学,四川成都610065

出　　处：《通信技术》2024年第3期309-314,共6页Communications Technology

摘　　要：自动相关监视技术(Automatic Dependent Surveillance-Broadcast,ADS-B)因其具备高效性和安全性,被广泛应用于空中交通管制。然而传输环境和传输距离的影响会导致部分接收的ADS-B信号十分微弱,从而降低了信号被成功译码的概率。针对此问题,提出了基于能量特征的ADS-B信号循环译码处理方法。该方法是在原始信号中先加入随机高斯白噪声,且原始信号与加入的噪声功率比约为20 dB。然后,根据幂次处理对信号的每个采样点提取局部能量特征,将得到的特征作为新的数据进行循环译码。实验结果表明,该处理方法能明显提高信号的正确译码率,对56条-99 dBm的微弱ADS-B信号的正确译码概率为100%,对56条-100 dBm的微弱ADS-B信号的正确译码概率达到98.2%。ADS-B(Automatic Dependent Surveillance-Broadcast)technology is widely used in air traffic control for its efficiency and security.However,due to the influence of transmission environment and transmission distance,some of the received ADS-B signals can be extremely weak,leading to a decrease in the probability of successful signal decoding.To address this issue,this paper proposes an ADS-B signal cyclic decoding method based on energy features.In this method,random Gaussian white noise is added to the original signal,with a power ratio of approximately 20dB between the original signal and the added noise.Subsequently,local energy features are extracted for each sampling point of the signal using power processing,and the obtained features are used as a new dataset for cyclic decoding.Experimental results demonstrate a significant improvement in the accuracy of signal decoding.The correct decoding probability for 56 instances of weak ADS-B signals with a strength of-99dBm is 100%,and for 56 instances of-100dBm weak ADS-B signals,the correct decoding probability reaches 98.2%.

关 键 词：ADS-B 幂次处理 能量特征 循环译码 

分 类 号：TN914.2[电子电信—通信与信息系统]