A Novel Algorithm of Blind Detection of Frequency Hopping Signal Based on Second-Order Cyclostationarity
Authors:
- Haining FanHFHaining Fan
- Ying GuoYGYing Guo
- Yaohua XuYXYaohua Xu
- 1 January 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 5, 399-402
Abstract
An algorithm to blindly detect frequency hopping (FH) signals corrupted by white Gaussian noise (WGN) is presented. Any parameters of FH are assumed to be unknown, and the noise power can be either known or unknown. The algorithm is based on the difference in cyclostationarity (CS) between FH signal and WGN. The module of estimation of cyclic autocorrelation is picked up with available received signal as the test statistic. A WGN of which power equals to the average power of received signal is constructed at the received end, and then the maximum module of estimation of cyclic autocorrelation is computed with this WGN as the detection threshold. Simulation results have proved that the proposed algorithm is adequate to the environments in which signal-to-noise ratio (SNR) is higher than -3dB.Keywords
This publication has 9 references indexed in Scilit:
- Cyclic Spectral Analysis of Frequency Hopping Signals2006
- Maximum based detection of slow frequency hopping signalsIEEE Communications Letters, 2003
- Partial-band detection of frequency-hopped signals2002
- Likelihood-ratio detection of frequency-hopped signalsIEEE Transactions on Aerospace and Electronic Systems, 1996
- Noncoherent interception receivers for fast frequency-hopped spread spectrum signals1994
- Exploitation of spectral redundancy in cyclostationary signalsIEEE Signal Processing Magazine, 1991
- Interception of frequency-hopped spread-spectrum signalsIEEE Journal on Selected Areas in Communications, 1990
- Spectral Correlation of Modulated Signals: Part II--Digital ModulationIEEE Transactions on Communications, 1987
- Spectral Correlation of Modulated Signals: Part I--Analog ModulationIEEE Transactions on Communications, 1987