碩士 / 國立清華大學 / 通訊工程研究所 / 103 / Compressed sensing (CS) is a signal processing technique which has been applied in lots of fields. Through CS, unknown parameters can be recovered with high probability from smaller amounts of information so that resources are saved. Due to the sparse nature of multipath channels, we settle the channel estimation problem in orthogonal frequency division multiplexing (OFDM) systems using CS -based method. On the design of pilot patterns, instead of a general way of minimizing the mutual coherence of the measurement matrix, a novel criterion is proposed by which measurement matrices with higher orthogonality can be picked with higher probability. Simulation results display that, in comparison to the widely used criterion, the pilot patterns generated by proposed criterion give better and more stable mean square error (MSE) performances in sparse channel estimation.
| Identifer | oai:union.ndltd.org:TW/103NTHU5650018 |
| Date | January 2014 |
| Creators | 朱建銘 |
| Contributors | 蔡育仁 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | en_US |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 55 |
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