Design of Off-line and Adaptive Blind Equalizers Using Subspace Approach
碩士 === 國立交通大學 === 電機與控制工程系所 === 95 === In wireless communication systems, equalization is often required in order to suppress the intersymbol interference (ISI) caused by multipath channels. Conventional approaches use training sequences for equalizer design which wastes the bandwidth. The blind equ...
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2007
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| Online Access: | http://ndltd.ncl.edu.tw/handle/15561808270876653658 |
| Summary: | 碩士 === 國立交通大學 === 電機與控制工程系所 === 95 === In wireless communication systems, equalization is often required in order to suppress the intersymbol interference (ISI) caused by multipath channels. Conventional approaches use training sequences for equalizer design which wastes the bandwidth. The blind equalizer can perform equalization
in no need of the training sequences and thus achieves more efficient channel bandwidth usage. In this thesis, we present new methods based on the subspace approach for computing fractionally spaced blind equalizers in single input multiple output (SIMO) systems.
We first present a new offline method using the properties of the channel matrix structure and the idea of mutually referenced filters. This method is later used to develop an adaptive blind equalizer by employing the OPAST algorithm and the bi-iteration singular value decomposition. We also use the idea of mutually reference filters to develop a
new blind equalizer design using the iterative least squares
method.
Finally, simulations are performed to demonstrate the better performance of the proposed algorithms compared to existing approaches.
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