Fast identification of amplitude modulated signals at low SNR

Author

Wei, Xiaowei ; Cao, Zhigang

Author_Institution

Dept. of Electron. Eng., Tsinghua Univ., Beijing, China

Volume

2

fYear

2005

Firstpage

1119

Abstract

Modulation identification of communication signals has broad prospects in many fields. However, when the signal-to-noise ratio (SNR) is low, the identification of high-level amplitude modulated (M-QAM and M-ASK) signals is still challenging. This paper presents a method of fast identifying amplitude modulated signals using wavelet transform (WT) with an optimal scale. Only 100 symbols were used to acquire a high percentage of correct identification. Simulation shows when the SNR is not lower than -4 dB, the percentage of correct identification for M-QAM (M=16,64,128) is higher than 93%. When the SNR is not lower than -10 dB the percentage of correct identification for M-ASK (M=2,4,8) is higher than 90%. Simulation results show this present method is real-time and the performance is significantly improved in low SNR.

Keywords

quadrature amplitude modulation; real-time systems; signal detection; signal processing; wavelet transforms; M-QAM; amplitude modulated signal identification; quadrature amplitude modulation; real-time method; wavelet transform; Additive white noise; Amplitude modulation; Gaussian noise; Histograms; Military standards; Noise level; Pulse modulation; Signal processing; Signal to noise ratio; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on

Print_ISBN

0-7803-9128-4

Type

conf

DOI

10.1109/MAPE.2005.1618117

Filename

1618117