Share Email Print
cover

Proceedings Paper

A signal detection algorithm based on RLS adaptive AR model in low signal-to-noise ratio condition
Author(s): Zhefeng Zhang; Tuanfeng Wu; Xigen Yang
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

It is a difficult problem to detect signal in low signal to noise ratio condition. A signal detection algorithm based on AR model is presented. The coefficients of AR model are found using RLS algorithm. The maximum magnitude of coefficients is summed to make the decision variable and compared to threshold. This algorithm has many advantages, such as small requirement of computation, high speed and independent of signal form, etc. Detecting complex sinusoid, QPSK and GMSK signals in white Gaussian noise under low signal to noise ratio condition are simulated. Results show that this algorithm can achieve better performance.

Paper Details

Date Published: 28 April 2004
PDF: 5 pages
Proc. SPIE 5284, Wireless Communications and Networks, (28 April 2004); doi: 10.1117/12.521954
Show Author Affiliations
Zhefeng Zhang, PLA Univ. of Science and Technology (China)
Tuanfeng Wu, PLA Univ. of Science and Technology (China)
Xigen Yang, PLA Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 5284:
Wireless Communications and Networks
Chih-Lin I; Jiann-An Tsai; Hequan Wu, Editor(s)

© SPIE. Terms of Use
Back to Top