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
Link To Document :
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