DocumentCode :
3427380
Title :
An adaptive low-complexity detection method for statistical signal transmission under time-varying channels
Author :
Tianheng Xu ; Sha Yao ; Honglin Hu
Author_Institution :
Key Lab. of Wireless Sensor Network & Commun., Shanghai Inst. of Microsyst. & Inf. Technol. (SIMIT), Shanghai, China
fYear :
2015
fDate :
19-24 April 2015
Firstpage :
3916
Lastpage :
3920
Abstract :
Based on orthogonal frequency division multiplexing (OFDM) systems, an additional individual data transmission can be established in statistical spectrum domain, which can be adopted for specific applications. However, the performance of existing detection methods for this kind of transmission will be severely restricted when the channel coefficients are dynamic within each observation window. In this paper, we propose an adaptive detection method for statistical signal transmission. This method has adequate adaptability for different channel varying rates, while maintaining low complexity. Simulation results show that the proposed method achieves significant performance gain compared to the original method under time varying channels.
Keywords :
OFDM modulation; signal detection; time-varying channels; OFDM systems; adaptive low-complexity detection method; channel coefficients; orthogonal frequency division multiplexing; statistical signal transmission; statistical spectrum domain; time-varying channels; Bit error rate; Cognitive radio; Fading; OFDM; Time-varying channels; Wireless sensor networks; Statistical signal transmission; cyclic delay diversity; orthogonal frequency division multiplexing; time-varying channel;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
Type :
conf
DOI :
10.1109/ICASSP.2015.7178705
Filename :
7178705
Link To Document :
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