| Fang Yong(方勇),Zhou Xiaoping,Wang Min.[J].高技术通讯(英文),2011,17(2):113~118 |
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| Compressed sensing based channel estimation using group random unit pilot for OFDM systems in fast moving environment |
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| DOI： |
| 中文关键词: |
| 英文关键词: compressed sensing (CS), channel estimation, fast fading, sparse channel, basis expansion |
| 基金项目: |
| Author Name | Affiliation | | Fang Yong(方勇) | | | Zhou Xiaoping | | | Wang Min | |
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| 中文摘要: |
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| 英文摘要: |
| A compressed sensing (CS) based channel estimation algorithm is proposed in the fast moving environment. A sparse basis expansion channel model in both time and frequency domain is given. Pilots are placed according to a novel random unit pilot matrix (RUPM) to measure the delay-Doppler sparse channel. The sparse channels are recovered by an extension group orthogonal matching pursuit (GOMP) algorithm, enjoying the diversity gain from multi-symbol processing. The relatively nonzero channel coefficients are estimated from a very limited number of pilots at a sampling rate significantly below the Nyquist rate. The simulation results show that the new channel estimator can provide a considerable performance improvement for the fast fading channels. Three significant reductions are achieved in the required number of pilots, memory requirements and computational complexity. |
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