Title :
Separating spatially correlated signals using first-order precoders
Author :
Yong Xiang ; Dezhong Peng ; Kouzani, Abbas
Author_Institution :
Sch. of Inf. Technol., Deakin Univ., Burwood, VIC, Australia
Abstract :
This paper deals with blind separation of spatially correlated signals mixed by an instantaneous system. Taking advantage of the fact that the source signals are accessible in some man-made systems such as wireless communication systems, we preprocess the source signals in transmitters by a set of properly designed first-order precoders and then the coded signals are transmitted. At the receiving side, information about the precoders are utilized to perform signal separation. Compared with the existing precoder-based methods, the new method only employs the simplest first-order precoders, which reduces the delay in data transmission and is easier to implement in practical applications.
Keywords :
blind source separation; precoding; blind separation; data transmission; first-order precoders; instantaneous system; man-made systems; precoder-based methods; spatially correlated signal separation; wireless communication systems; Blind source separation; Conferences; Educational institutions; Vectors; Wireless sensor networks; Blind source separation; precoder; second-order statistics; spatially correlated sources;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4316-6
DOI :
10.1109/ICIEA.2014.6931324