Sparse Channel Estimation Based on Combined Measurements in OFDM Systems 


Vol. 41,  No. 1, pp. 1-11, Jan.  2016


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  Abstract

We investigate compressive sensing techniques to estimate sparse channel in Orthogonal Frequency Division Multiplexing(OFDM) systems. In the case of large channel delay spread, compressive sensing may not be applicable because it is affected by length of measurement vectors. In this paper, we increase length of measurement vector adding pilot information to OFDM data block. The increased measurement vector improves probability of finding path delay set and Mean Squared Error(MSE) performance. Simulation results show that signal recovery performance of a proposed scheme is better than conventional schemes.

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  Cite this article

[IEEE Style]

B. Min and D. Park, "Sparse Channel Estimation Based on Combined Measurements in OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 1, pp. 1-11, 2016. DOI: .

[ACM Style]

Byeongcheon Min and Daeyoung Park. 2016. Sparse Channel Estimation Based on Combined Measurements in OFDM Systems. The Journal of Korean Institute of Communications and Information Sciences, 41, 1, (2016), 1-11. DOI: .

[KICS Style]

Byeongcheon Min and Daeyoung Park, "Sparse Channel Estimation Based on Combined Measurements in OFDM Systems," The Journal of Korean Institute of Communications and Information Sciences, vol. 41, no. 1, pp. 1-11, 1. 2016.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880