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http://dx.doi.org/10.7840/kics.2015.41.1.1

Sparse Channel Estimation Based on Combined Measurements in OFDM Systems  

Min, Byeongcheon (Department of Information and Communication, Inha University)
Park, Daeyoung (Department of Information and Communication, Inha University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.41, no.1, 2016 , pp. 1-11 More about this Journal
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.
Keywords
Channel estimation; compressive sensing; orthogonal frequency division multiplexing(OFDM); compressive sampling matching pursuit(CoSaMP);
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Times Cited By KSCI : 1  (Citation Analysis)
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