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低复杂度单天线ADS-B交织位置检测
引用本文:王文益,孟真真.低复杂度单天线ADS-B交织位置检测[J].信号处理,2020,36(4):611-619.
作者姓名:王文益  孟真真
作者单位:中国民航大学天津市智能信号与图像处理重点实验室
基金项目: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)信号的交织会使信息读取失误,因此解交织技术必不可少。解交织算法通常要先进行交织位置检测,再利用无交织部分信号进行解交织,故交织位置检测是解交织算法中的重要步骤,现有的交织位置检测主要依据奇异值分解(Singular Value Decomposition,SVD)法,但该方法复杂度高且位置检测不够精确。因此本文基于单天线ADS-B信号的时域波形特点,利用交织信号的波形与标准信号的波形差异,提出一种低复杂度的交织位置检测方法。利用报头脉冲位置的固定性对报头进行交织位置检测,再依据数据域脉冲宽度及幅度等特征对该部分信号进行检测。仿真和实采数据结果均验证了本文所提算法可精准、高效地检测到信号的交织位置。 

关 键 词:广播式自动相关监视    单天线    交织位置    交织检测
收稿时间:2019-12-12

Low-complexity overlapped position detection for single antenna ADS-B receivers
Affiliation:Tianjin Key Laboratory for Advanced Signal Processing, Civil Aviation University of China
Abstract:Overlapped Automatic Dependent Surveillance-Broadcasting (ADS-B) signals will cause errors in reading the information, so the separation technology is essential. The separating algorithm usually needs to detect the overlapped position firstly, and then the non-overlapping parts are used for separating. Therefore, the overlapped position detection is an important step in the separating algorithms. The existing methods of overlapped position detection are mainly based on the Singular Value Decomposition(SVD) method, however, this method is complicated and the position detection is not accurate. Therefore, this paper is based on the characteristics of the time domain waveforms of single antenna ADS-B signals. Using the waveform differences between the overlapped signals and the standard signals, a low-complexity method for detecting the overlapped position of signals is proposed. The overlapped position of the preamble is detected by using the fixity of the preamble pulse position, and then the data block of the signal is detected according to the characteristics of the pulse width and amplitude. The results of simulation and test experiments show that the algorithm proposed in this paper can accurately and efficiently detect the overlapped position of signals. 
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