Abstract
Gaussian mixture probability hypothesis density algorithm (GMPHDA), which is suitable for tracking weak signal to noise ratio (WSNR) multi-target, has rigorous theoretical foundation. The states and number of WSNR multi-target are tracked accurately by GMPHDA application in multi-radar networking, forming KF-GMPHDA. A suite of algorithm about KF-GMPHDA in multi-radar networking is proposed, improving track and detect algorithm in multi-radar networking. Simulation results show that all WSNR multi-target are tracked in multi-radar networking, which gets target tracks corresponding one to one with real targets by the proposed KF-GMPHDA. And then these guarantee higher-up to make full use of track information to acquire real targets states and judge battlefield.
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Ding, HL., Zhao, WB., Zhang, LZ. (2016). Study on Tracking and Detecting Weak Multi-target Based on KF-GMPHDA in Multi-radar Networking. In: Huang, DS., Jo, KH. (eds) Intelligent Computing Theories and Application. ICIC 2016. Lecture Notes in Computer Science(), vol 9772. Springer, Cham. https://doi.org/10.1007/978-3-319-42294-7_71
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DOI: https://doi.org/10.1007/978-3-319-42294-7_71
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