邵宇识
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
基金项目:国家自然科学基金(U1833112)
详细信息
作者简介:王文益：男，1980年生，教授，主要研究方向为自适应阵列信号处理
邵宇识：男，1995年生，硕士，研究方向为自适应阵列信号处理
通讯作者:王文益 wenyi_wang@126.com
中图分类号:TN967.1计量
文章访问数:486
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被引次数:0
出版历程
收稿日期:2019-09-03
修回日期:2020-08-01
网络出版日期:2020-08-20
刊出日期:2020-11-16
Signal Separation for Automatic Dependent Surveillance-Broadcast Using Improved Single Antenna Project Algorithm
Wenyi WANG,,Yushi SHAO
Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China, Tianjin 300300, China
Funds:The National Natural Science Foundation of China (U1833112)
摘要
摘要:广播式自动相关监视(ADS-B)作为一种新的监视技术正受到国际民用航空组织(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。该文提出一种改进的单天线投影算法(PASA)。利用单通道分离交织信号，首先对单通道接收到的数据提出一种新的矩阵重构方式，从而降低两条信号之间的相对时延和频偏要求；然后利用投影算法分离交织信号。仿真实验结果验证了该算法的有效性。
关键词:广播式自动相关监视/
信号解交织/
单通道/
矩阵重构
Abstract: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. An improved Project Algorithm Single Antenna (PASA) algorithm which separates the overlapping signals with one single channel is proposed. Firstly, a new matrix reconstruction method for the data that received by single channel is proposed to decrease the requirement of relative time delay and frequency difference between two ADS-B signals, and then the overlapping signals can be separated by utilizing the projection algorithm. The effectiveness of the algorithm is verified by simulation experiments.
Key words:Automatic Dependent Surveillance-Broadcast (ADS-B)/
Signal separation/
Single channel/
Matrix reconstruction
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