Autoregressive channel prediction model for cognitive radio

Authors:
Dong Chunli;Dong Yuning;Wang Li
Affiliations:
College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China and Dept. of Information Engineering, Nanjing College of Traffic Vocational ...;College of Communication and Information Engineering, Nanjing University of Posts and Telecommunications, Nanjing, China and Jiangsu Key Lab of Computer Information Processing Technology, Suzhou U ...;Nanjing College of Traffic Vocational Technology, Nanjing, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

Citing 2
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Abstract

An autoregressive channel prediction model is presented for cognitive radio systems. This model adopts a second-order AR model and a particle filter. In this paper, an AR model of order p is used to approximate the flat Rayleigh fading channels. Simulation results show that the performance of the proposed autoregressive channel prediction model based on particle filtering is better than that of Kalman filtering.