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Issue No.09 - September (2011 vol.10)

pp: 1264-1275

Tao Jia , Virginia Tech, Blacksburg

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TMC.2010.260

ABSTRACT

In this work, we propose a set-theoretic approach to collaborative position location for wireless networks. The proposed method borrows the concept from the parallel projection method (PPM), originally developed for signal recovery with inconsistent convex feasibility sets, modifies and extends the technique to an iterative and distributed numerical algorithm to estimate node locations, based on incomplete and noisy internode distance estimates. We demonstrate that in the case of noncollaborative position location, the proposed method is analytically equivalent to the parallel implementation of Kaczmarz Algorithm that is guaranteed to converge to a local minimizer and thus a stationary point. For collaborative position location, the proposed iterative PPM is computationally much more efficient than existing methods such as SDP and MDS-MAP, while achieving comparable or better localization accuracy and robustness to non-line-of-sight (NLOS) bias. Finally, our proposed method can be implemented in a parallel and distributed fashion, and is scalable for large network deployment.

INDEX TERMS

Collaborative position location, parallel projection method, Kaczmarz Algorithm, non-line-of-sight.

CITATION

Tao Jia, "A Set-Theoretic Approach to Collaborative Position Location for Wireless Networks",

*IEEE Transactions on Mobile Computing*, vol.10, no. 9, pp. 1264-1275, September 2011, doi:10.1109/TMC.2010.260REFERENCES

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