Eigen-Analysis Based Super-Resolution Time Delay Estimation Algorithms for Spread Spectrum Signals 


Vol. 38,  No. 12, pp. 1013-1020, Dec.  2013


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  Abstract

In this paper the super-resolution time delay estimation algorithms based on eigen-analysis are developed for spread spectrum signals along with their comparative performance analysis. First, we shall develop super-resolution time delay estimation algorithms using the representative eigen-analysis based AOA (angle-of-arrival) estimation algorithms such as MUSIC, Minimum-Norm, and ESPRIT, and apply them to the ISO/IEC 24730-2.1 real-time locating system (RTLS) employing a direct sequence spread spectrum (DS-SS) technique to compare their performances in RTLS environments. Simulation results illustrate that all the three algorithms can resolve multipath signals whose delay differences are even smaller than the Rayleigh resolution limit. Simulation results also show that MUSIC and Minimum-Norm provide a similar performance while ESPRIT is inferior to both algorithms in RTLS environments.

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  Cite this article

[IEEE Style]

H. Park and J. Shin, "Eigen-Analysis Based Super-Resolution Time Delay Estimation Algorithms for Spread Spectrum Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1013-1020, 2013. DOI: .

[ACM Style]

Hyung-Rae Park and Joon-Ho Shin. 2013. Eigen-Analysis Based Super-Resolution Time Delay Estimation Algorithms for Spread Spectrum Signals. The Journal of Korean Institute of Communications and Information Sciences, 38, 12, (2013), 1013-1020. DOI: .

[KICS Style]

Hyung-Rae Park and Joon-Ho Shin, "Eigen-Analysis Based Super-Resolution Time Delay Estimation Algorithms for Spread Spectrum Signals," The Journal of Korean Institute of Communications and Information Sciences, vol. 38, no. 12, pp. 1013-1020, 12. 2013.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880