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