Paper Info
Title
An Adaptive Low-Complexity Detection Method For Statistical Signal Transmission Under Time-Varying Channels
Abstract
Based on orthogonal frequency division multiplexing (OFD-M) 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.
Year
Venue
Keywords
2015
2015 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING (ICASSP)
Statistical signal transmission, cyclic delay diversity, orthogonal frequency division multiplexing, time-varying channel
Field
DocType
ISSN
Transmission (telecommunications),Data transmission,Fading,Computer science,Real-time computing,Artificial intelligence,Statistical time division multiplexing,Bit error rate,Pattern recognition,Communication channel,Algorithm,Orthogonal frequency-division multiplexing,Cognitive radio
Conference
1520-6149
Citations 
PageRank 
References 
2
0.36
9
Authors
3
Name
Order
Citations
PageRank
Tianheng Xu1279.77
Yao, S.2243.67
Honglin Hu382084.65