Flat Fast-Fading Channel Prediction Algorithm on the Basis of Extended Prony Algorithm

doi:10.3969/j.issn.1000-565X.2015.03.012

Journal of South China University of Technology (Natural Science Edition) ›› 2015, Vol. 43 ›› Issue (3): 78-83.doi: 10.3969/j.issn.1000-565X.2015.03.012

• Electronics, Communication & Automation Technology • Previous Articles Next Articles

Flat Fast-Fading Channel Prediction Algorithm on the Basis of Extended Prony Algorithm

Zhong Wei-zhi Zhong Dan-dan Jing Qing-feng Liu Xin

College of Astronautics，Nanjing University of Aeronautics and Astronautics，Nanjing 210006，Jiangsu，China

Online:2015-03-25 Published:2015-02-10
Contact: 仲伟志(1980-)，女，讲师，主要从事宽带移动通信研究． E-mail:zhongwz@nuaa.edu.cn
About author:仲伟志(1980-)，女，讲师，主要从事宽带移动通信研究．
Supported by:
Supported by the National Natural Science Foundation of China(NSFC)(61102069，61301105) and the Natural Science Foundation of Jiangsu Province(BK20140828)

Abstract

Abstract: In order to overcome the high iteration load and error diffusion existing in maximum entropy method (MEM) and to improve the prediction accuracy of ESPＲIT algorithm subjected to autocorrelation function estima-tion，a flat fast-fading channel prediction algorithm on the basis of extended Prony algorithm is proposed． By means of extended Prony algorithm，complex roots can be obtained via least square fitting and higher algebraic equations without estimating autocorrelation function，batch computation becomes possible，and thus both the prediction accu-racy and the computation efficiency improve． Theoretical and simulated results show that，in comparison with MEM and ESPRIT algorithms，extended Prony algorithm provides higher prediction accuracy，3 ～5 dB advantages at the same prediction accuracy，more steady performance and higher operation efficiency．

Key words: fading channel, prediction, MEM algorithm, ESPRIT algorithm, extended Prony algorithm

Zhong Wei-zhi Zhong Dan-dan Jing Qing-feng Liu Xin. Flat Fast-Fading Channel Prediction Algorithm on the Basis of Extended Prony Algorithm[J]. Journal of South China University of Technology (Natural Science Edition), 2015, 43(3): 78-83.

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Flat Fast-Fading Channel Prediction Algorithm on the Basis of Extended Prony Algorithm

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