Weak signal detection based on chaotic oscillator

Author

Liu, Ding ; Ren, Haipeng ; Song, Li ; Li, Huming

Author_Institution

Xi´´an Univ. of Technol., China

Volume

3

fYear

2005

fDate

2-6 Oct. 2005

Firstpage

2054

Abstract

The weak signal detection based on chaotic oscillator is analyzed, and the weaknesses of the existing Melnikov method and the phase trajectory observation method are pointed out in this paper. A new weak signal detection method based on Lyapunov exponents (LE) is proposed. Firstly, the model based LE calculation method is used to determine the accurate initial threshold value. Secondly, an improved LE calculation algorithm is proposed based on phase space reconstruction of the observed data. The characteristics of this improved method are the high precision of the threshold value setting and the automatic recognition. Simulation results verify analysis and the effectiveness of this method.

Keywords

chaotic communication; oscillators; signal detection; Lyapunov exponents; Melnikov method; automatic recognition; chaotic oscillator; phase space reconstruction; trajectory observation method; weak signal detection; Analytical models; Chaos; Circuit synthesis; Humans; Noise level; Noise measurement; Oscillators; Phase detection; Signal detection; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Industry Applications Conference, 2005. Fourtieth IAS Annual Meeting. Conference Record of the 2005

ISSN

0197-2618

Print_ISBN

0-7803-9208-6

Type

conf

DOI

10.1109/IAS.2005.1518730

Filename

1518730