期刊
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
卷 51, 期 1, 页码 654-668出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAES.2014.130151
关键词
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资金
- Defense Acquisition Program Administration
- Agency for Defense Development [UD130007DD]
- National Research Foundation of Korea [22A20130012328] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
We consider target tracking using a network of sensors, where some (or all) sensors may be nonlinear or even nonobservable. With nonlinear/nonobservable sensors we may locally track the measurement state. We show that increasing the local measurement state derivative (partially) compensates the nonlinearity of the local measurement state propagation. For example, given a uniform target motion, one should also track the measurement state acceleration. We also simplify the distributed fusion by avoiding the explicit track-to-track (T2T) association. The equivalent measurements (EMs) are used to both update all existing and initialize new global tracks. This approach allows distributed false track discrimination (FTD) and trajectory estimation. We apply this material to distributed tracking in clutter using the time/frequency difference of arrival (TFDOA) sensors.
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