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Aviation multi-station collaborative detecting based on time-frequency correlation of data-link

Journal of Systems Engineering and Electronics 2017年第5期28卷 827-840页

作者： Bo Wang Xiaolong Liang Liang Wei Pingni Liu Air Traffic Control and Navigation College Air Force Engineering University Equipment Management and Safety Engineering College Air Force Engineering University

As an important application research topic of the intelligent aviation multi-station, collaborative detecting must overcome the problem of scouting measurement with status of 'fragmentation', and the NP-hardness problem of matching association between target and measurement in the process of scouting to data-link, which has complicated technical architecture of network construction. In this paper, taking advantage of cooperation mechanism on signal level in the aviation multi-station sympathetic network, a method of obtaining target time difference of arrival (TDOA) measurement using multi-station collaborative detecting based on time-frequency association is proposed. The method can not only achieve matching between target and its measurement, but also obtain TDOA measurement by further evolutionary transaction through refreshing sequential pulse time of arrival (TOA) measurement matrix for matching and correlating. Simulation results show that the accuracy of TDOA measurement has significant superiority over TOA, and detection probability of false TDOA measurement introduced by noise and fake measurement can be reduced effectively.

关键词： data-link time-frequency correlation aviation multistation synergistic detection time difference of arrival (TDOA)

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