基于MVDR算法的单天线ADS-B交织信号分离  

Single-antenna Overlapped ADS-B Signal Separation Based on MVDR Algorithm

作　　者：王文益[1] 邵宇识 Wang Wenyi;Shao Yushi(Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China)

机构地区：[1]中国民航大学天津市智能信号与图像处理重点实验室,天津300300

出　　处：《信号处理》2020年第5期686-694,共9页Journal of Signal Processing

基　　金：国家自然科学基金委员会资金项目(U1833112)。

摘　　要：广播式自动相关监视(Automatic Dependent Surveillance-Broadcast,ADS-B)作为一种新的监视技术正受到国际民用航空组织(International Civil Aviation Organization,ICAO)的大力推广。然而,由于ADS-B信号传输具有随机性,多条信号交织问题不可避免。本文将最小方差无失真响应(Minimum Variance Distortless Response,MVDR)算法应用于单天线ADS-B信号解交织。首先,将单天线接收到的数据转化为虚拟均匀线阵模型;然后利用阵列信号处理中的MVDR算法分离交织信号。由于该算法需要准确估计信号频率,而针对快速傅里叶变换(Fast Fourier Transform,FFT)估计信号频率误差较大的问题,利用改进的频率估计方法能够降低信号频率估计误差,从而有效分离交织信号。仿真实验验证了该算法的有效性并且对信号之间相对时延问题不敏感。The Automatic Dependent Surveillance-Broadcast(ADS-B),as a new surveillance technology,is being vigorously promoted by International Civil Aviation Organization(ICAO).However,overlapping among multiple signals is inevitable because of the randomness of ADS-B signal transmission.In this paper,the Minimum Variance Distortless Response(MVDR)algorithm was applied to separate overlapping ADS-B signals received by single antenna.Firstly,the data that received by single antenna was transformed into virtual uniform linear array model,and then the overlapping signals could be separated by utilizing the MVDR algorithm in array signal processing.Because of the algorithm needs to estimate the frequency of the signal accurately,the frequency estimation error of Fast Fourier Transform(FFT)is large and the improved frequency estimation method can reduce it,so as to effectively separate the overlapped signals.The simulation results show that the algorithm is effective and insensitive to the relative time delay between signals.

关 键 词：广播式自动相关监视 信号解交织 单天线 矩阵重构 最小方差无失真响应 

分 类 号：TN911.7[电子电信—通信与信息系统]