An Improved TDoA Localization with Particle Swarm Optimization in UWB Systems 


Vol. 35,  No. 1, pp. 87-95, Jan.  2010


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  Abstract

In this paper, we propose an improved TDoA (Time Difference of Arrival) localization scheme using PSO (Particle Swarm Optimization) in UWB (Ultra Wide Band) systems. The proposed scheme is composed of two steps: re-estimation of TDoA parameters and re-localization of a tag position. In both steps, the PSO algorithm is employed to improve the performance. In the first step, the proposed scheme re-estimates the TDoA parameters obtained by traditional TDoA localization to reduce the TDoA estimation error. In the second step, the proposed scheme with the TDoA parameters estimated in the first step, re-localizes the tag to minimize the location error. The simulation results show that the proposed scheme achieves a more superior location performance to the traditional TDoA localization in both LoS (Line-of-Sight) and NLoS (Non-Line-of-Sight) channel environments.

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  Cite this article

[IEEE Style]

T. N. Le, J. Kim, Y. Shin, "An Improved TDoA Localization with Particle Swarm Optimization in UWB Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 87-95, 2010. DOI: .

[ACM Style]

Tan N. Le, Jaewoon Kim, and Yoan Shin. 2010. An Improved TDoA Localization with Particle Swarm Optimization in UWB Systems. The Journal of Korean Institute of Communications and Information Sciences, 35, 1, (2010), 87-95. DOI: .

[KICS Style]

Tan N. Le, Jaewoon Kim, Yoan Shin, "An Improved TDoA Localization with Particle Swarm Optimization in UWB Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 35, no. 1, pp. 87-95, 1. 2010.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880