Location And Tracking Algorithm Based On Bp Neural Network
July 1, 2011 - Mao Yongyi; Zhou Kanglei
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EmailJournal or Book Title: Computer Engineering and Applications
Volume/Issue: 47
Year Published: 2011
A location and tracking algorithm with NLOS (Non-Line Of Sight) errors for MS (Mobile Station) is proposed in this paper.The algorithm is able to correct the NLOS errors using BP (Back Propagation) neural network on TDOA (Time Diffence Of Arrive) measurements. The positions of MS can be estimated by Chan's algorithm. Cooperating correlation detection gate, the MS is tracked by the algorithm. The simulation results show that the algorithm performance is better than others not only in the static state but also in the dynamic state.
DOI: 10.3778/j.issn.1002-8331.2011.20.066
Type of Publication: Journal Paper
