Abstract | ||
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This paper develops an adaptive blind equalization approach for time-varying (TV) SIMO systems with QPSK inputs based on the complex exponential basis expansion model (CE-BEM). Different from most existing blind approaches for TV systems, our proposed method does not require any a priori information or estimations with respect to the basis frequencies in the CE-BEM. This eliminates the reliance of receivers on such a priori knowledge and the computational complexity brought about by the basis frequency estimations. Simulation results show the effectiveness of the proposed method. |
Year | DOI | Venue |
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2013 | 10.1016/j.dsp.2012.07.014 | Digital Signal Processing |
Keywords | Field | DocType |
time-varying simo system,tv system,basis frequency estimation,simo system,basis frequency,computational complexity,existing blind approach,complex exponential basis expansion,qpsk input,adaptive blind equalization approach,blind equalization | Mathematical optimization,A priori and a posteriori,Euler's formula,Blind equalization,Mathematics,Computational complexity theory,Phase-shift keying | Journal |
Volume | Issue | ISSN |
23 | 1 | 1051-2004 |
Citations | PageRank | References |
2 | 0.36 | 10 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Dezhong Peng | 1 | 285 | 27.92 |
Yong Xiang | 2 | 1137 | 93.92 |
H. Trinh | 3 | 409 | 41.65 |
Zhihong Man | 4 | 1130 | 120.41 |