Time Delay Estimation Using LASSO (Least Absolute Selection and Shrinkage Operator) 


Vol. 39,  No. 10, pp. 715-721, Oct.  2014


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  Abstract

In decades, many researchers have studied the time delay estimation (TDE) method for the signals in the two different receivers. The channel estimation based TDE is one of the typical TDE methods. The channel estimation based TDE models the time delay between two receiving signals as an impulse response in a channel between two receivers. In general the impulse response becomes sparse. However, most conventional TDE algorithms cannot have utilized the sparsity. In this paper, we propose a TDE method taking the sparsity into consideration. The performance comparison shows that the proposed algorithm improves the estimation accuracy by 10 dB in the white gaussian source. In addition, even in the colored source, the proposed algorithm doesn"t show the estimation threshold effect.

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  Cite this article

[IEEE Style]

J. Lim, Y. Pyeon, S. Choi, "Time Delay Estimation Using LASSO (Least Absolute Selection and Shrinkage Operator)," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 10, pp. 715-721, 2014. DOI: .

[ACM Style]

Jun-Seok Lim, Yong-Guk Pyeon, and Seok-Im Choi. 2014. Time Delay Estimation Using LASSO (Least Absolute Selection and Shrinkage Operator). The Journal of Korean Institute of Communications and Information Sciences, 39, 10, (2014), 715-721. DOI: .

[KICS Style]

Jun-Seok Lim, Yong-Guk Pyeon, Seok-Im Choi, "Time Delay Estimation Using LASSO (Least Absolute Selection and Shrinkage Operator)," The Journal of Korean Institute of Communications and Information Sciences, vol. 39, no. 10, pp. 715-721, 10. 2014.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880