DocumentCode
3273460
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
Volume
9
fYear
2010
fDate
16-18 Oct. 2010
Firstpage
4454
Lastpage
4457
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Image and Signal Processing (CISP), 2010 3rd International Congress on
Conference_Location
Yantai
Print_ISBN
978-1-4244-6513-2
Type
conf
DOI
10.1109/CISP.2010.5647673
Filename
5647673
Link To Document