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Sparse Channel Estimation Based on Combined Measurements in OFDM Systems
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 Title & Authors
Sparse Channel Estimation Based on Combined Measurements in OFDM Systems
Min, Byeongcheon; Park, Daeyoung;
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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.
 Keywords
Channel estimation;compressive sensing;orthogonal frequency division multiplexing(OFDM);compressive sampling matching pursuit(CoSaMP);
 Language
Korean
 Cited by
1.
사전 정보를 이용한 다중경로 정합 추구,민병천;박대영;

한국통신학회논문지, 2016. vol.41. 6, pp.628-630 crossref(new window)
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