DocumentCode :
358430
Title :
A new analysis of direct-sequence pseudo-noise code acquisition on Rayleigh fading channels
Author :
Sheen, Wern-Ho ; Chang, Ming-Jou ; Wang, Huan-Chun
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chin Yi, Taiwan
Volume :
1
fYear :
2000
fDate :
36770
Firstpage :
40
Abstract :
Accurate performance evaluation of direct-sequence (DS) pseudo-noise code acquisition on Rayleigh fading channels is investigated. Due to the correlations between cell detections incurred by fading, the traditional direct and flow-graph approaches for performance evaluation of an acquisition system are not applicable to a fading channel. A new analysis is proposed for accurate evaluation of the acquisition performance on Rayleigh fading channels. The analysis can include various search strategies, correlators and test methods with different performance measures: probability mass function (PMF) and/or moments of acquisition time. Analytical and computer simulation results show that the new method predicts the acquisition performance very accurately
Keywords :
Rayleigh channels; cellular radio; correlators; personal communication networks; probability; pseudonoise codes; search problems; spread spectrum communication; synchronisation; DS-SS receiver; Rayleigh fading channels; acquisition performance; acquisition system; acquisition time moments; cell detection; cell detections; computer simulation results; correlations; correlators; direct-sequence pseudo-noise code acquisition; mobile radio communication; performance evaluation; performance measures; probability mass function; search strategies; terrestrial personal communication; test methods; AWGN; Computer simulation; Correlators; Fading; Mobile communication; Performance analysis; Rayleigh channels; Spread spectrum communication; Testing; Time measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spread Spectrum Techniques and Applications, 2000 IEEE Sixth International Symposium on
Conference_Location :
Parsippany, NJ
Print_ISBN :
0-7803-6560-7
Type :
conf
DOI :
10.1109/ISSSTA.2000.878077
Filename :
878077
Link To Document :
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