Title :
Study of the detection algorithm for TWACS signal based on ICA
Author :
Wang, Jing ; Liu, Dichen ; Zhao, Jie ; Wu, Yuzhi
Author_Institution :
Sch. of Electr. Eng., Wuhan Univ., Wuhan, China
Abstract :
The key that Two-way Automatic Communication System (TWACS) is applied in distribution systems is how the usable communication signals are detected from the strong interference of power network. According to the characteristic of TWACS signal, the paper proposed a new detection algorithm for TWACS signal based on Independent Component Analysis (ICA), which is an effective detection technique for weak signals. It can maintain the integrity of the source signals whether in the time domain or in frequency domain, on which the overlap of the signals´ frequency is not impacted. The simulations show this algorithm can separate the signals effectively whether under system dynamics or under system steady state, and can improve signal to noise ratio of TWACS signals.
Keywords :
frequency-domain analysis; independent component analysis; power distribution; signal detection; time-domain analysis; ICA; TWACS signal; communication signal detection; distribution systems; frequency domain; independent component analysis; power network interference; signal frequency; signal to noise ratio; source signals; steady state system; time domain; two-way automatic communication system; weak signal detection algorithm; Harmonic analysis; Heuristic algorithms; Independent component analysis; Noise measurement; Power harmonic filters; Time frequency analysis; Independent Component Analysis; Two-way Automatic Communication System; system dynamics; weak signals;
Conference_Titel :
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location :
Yantai
Print_ISBN :
978-1-4244-6513-2
DOI :
10.1109/CISP.2010.5647673