Open AccessChaos-based weak sinusoidal signal detection approach under colored noise background
Author(s) -
Yue Li,
Banghua Yang,
Yaowu Shi
Publication year - 2003
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.52.526
Subject(s) - colors of noise , signal (programming language) , detection theory , noise (video) , chaos (operating system) , stochastic resonance , colored , computer science , sensitivity (control systems) , signal transfer function , physics , artificial intelligence , noise reduction , analog signal , electronic engineering , telecommunications , detector , transmission (telecommunications) , materials science , computer security , composite material , image (mathematics) , programming language , engineering
In this paper we consider a new weak signal detection scheme which uses the sensitivity of chaos to the parameters under a certain status to realize weak signal detection- This scheme can effectively extract the weak sinusoidal signal from the strong colored noise background- We present a chaos-based signal detection approach, analyze the influence of noise to the system status in the chaos detection process- Simulation experiments show that the chaos detection system is very sensitive to weak signal and have strong constraint to any colored noise with zero mean value-