DocumentCode :
428106
Title :
Chaotic binary sequences for efficient wireless multipath channel estimation
Author :
Shanmugam, Surendran K. ; Leung, Henry
Author_Institution :
Dept. of Electr. & Comput. Eng., Calgary Univ., Alta., Canada
Volume :
2
fYear :
2004
fDate :
26-29 Sept. 2004
Firstpage :
1202
Abstract :
This paper presents a better binary sequence design for efficient wireless multipath channel estimation. Chaotic binary sequences with better properties than conventional maximal length sequences are obtained through an optimization algorithm based on DNA computation. The proposed method is attractive due to its ability to generate binary sequences for specific design criteria. The generated chaotic binary sequences have superior performance compared to maximal length sequences and have complexity similar to the levels of shift register implementation. The effectiveness of the proposed method was evaluated for sequence design for frequency domain channel estimation. Simulation results clearly show the improved performance of the sequence obtained using the proposed scheme over the maximal length sequence. Further, the proposed scheme is not only limited to channel estimation sequence design but can be applied to various communication system design problems.
Keywords :
binary sequences; biocomputing; channel estimation; multipath channels; optimisation; DNA computation; binary sequence design; chaotic binary sequences; communication system design; frequency domain channel estimation; optimization algorithm; performance; shift register implementation; wireless multipath channel estimation; Binary sequences; Channel estimation; Chaos; Chaotic communication; DNA computing; Delay estimation; Frequency domain analysis; Multipath channels; Shift registers; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2004. VTC2004-Fall. 2004 IEEE 60th
ISSN :
1090-3038
Print_ISBN :
0-7803-8521-7
Type :
conf
DOI :
10.1109/VETECF.2004.1400212
Filename :
1400212
Link To Document :
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