DocumentCode
3292481
Title
OFDM blind signal detection based on the probability-enhanced genetic algorithm
Author
Chengzhi, Fang ; Liya, Huang ; Ying, Zhang
Author_Institution
Coll. of Electron. Sci. & Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
fYear
2011
fDate
15-17 April 2011
Firstpage
2420
Lastpage
2424
Abstract
In recent years the quadratic program (QP) is applied for the blind signal detection of the time-varying OFDM systems. The minimum solution of the QP is obtained by means of exhaustive search in the vector space, which often involves large and nondeterministic complexity. In this paper, we derive some formulas describing the probability information about the received PSK-type signals. With these formulas, a novel genetic algorithm (GA) based method is proposed. Different from other approaches, this method includes a new selection and mutation strategy, ensuring the near-optimal solution can be found with least complexity. The simulations prove the effectiveness of the new method.
Keywords
OFDM modulation; genetic algorithms; phase shift keying; probability; quadratic programming; signal detection; OFDM blind signal detection; PSK-type signals; mutation strategy; nondeterministic complexity; probability-enhanced genetic algorithm; quadratic programming; selection strategy; time-varying OFDM systems; vector space; Complexity theory; Constellation diagram; Delta modulation; Genetic algorithms; OFDM; Optimization; Phase shift keying; Genetic Algorithm; OFDM; Probability; Signal Detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Information and Control Engineering (ICEICE), 2011 International Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-8036-4
Type
conf
DOI
10.1109/ICEICE.2011.5778275
Filename
5778275
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