Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing

Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing

Ma Qinggong, Yang Bo
Copyright: © 2015 |Volume: 7 |Issue: 3 |Pages: 8
ISSN: 1937-965X|EISSN: 1937-9668|EISBN13: 9781466676718|DOI: 10.4018/IJAPUC.2015070105
Cite Article Cite Article

MLA

Qinggong, Ma, and Yang Bo. "Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing." IJAPUC vol.7, no.3 2015: pp.55-62. http://doi.org/10.4018/IJAPUC.2015070105

APA

Qinggong, M. & Bo, Y. (2015). Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing. International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC), 7(3), 55-62. http://doi.org/10.4018/IJAPUC.2015070105

Chicago

Qinggong, Ma, and Yang Bo. "Frequency Offset Estimation Algorithm of OFDMA Wireless Communication System Based on Compressed Sensing," International Journal of Advanced Pervasive and Ubiquitous Computing (IJAPUC) 7, no.3: 55-62. http://doi.org/10.4018/IJAPUC.2015070105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The frequency offset problem of OFDMA wireless communication system has been an important obstructive factor for the rapid promotion of this technology. The frequency offset estimation algorithm of OFDMA wireless communication system based on compressed sensing reconstructs the optimized mathematical model of frequency offset. Under the premise of keeping its estimated performance, from the reduction of its computation complexity and the enhancement of real-time performance of the system, it provides an optimized algorithmic approach and thus improves the practicability of algorithm. The compressed sensing algorithm has realized the fast and accurate extraction of the frequency offset parameters, so the overall performance of the system can reach the optimal state.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.