DocumentCode
2985232
Title
Affine Precoding and Decoding MIMO Frequency-selective Fading Channel for Estimation and Source Detection
Author
Tran, N.N. ; Pham, D.H. ; Tuan, H.D.
Author_Institution
Sch. of Electr. Eng. & Telecommun., New South Wales Univ., Sydney, NSW
fYear
2006
fDate
Aug. 2006
Firstpage
749
Lastpage
754
Abstract
A new affine precoding and decoding method for multiple-input multiple-output (MIMO) frequency-selective fading channel is proposed. Based on a concept of orthogonal superimposed training on linear precoding, the optimal design of an affine precoder consisting of linear precoder and training sequence is developed. The training sequence is superimposed on the linearly precoded data, i.e., it is arithmetically added to the precoded data. By additionally employing decoding, the channel can be estimated independently of the precoded data without consuming transmission bandwidth for the training sequence. Furthermore, a power allocation scheme is designed to determine the optimal ratio of power between the training sequence and the data. It is shown through simulation that the proposed method has considerable advantages over other affine precoding methods with regard to source detection improvement and reduced computational complexity
Keywords
MIMO communication; channel coding; channel estimation; computational complexity; decoding; fading channels; matrix algebra; precoding; signal detection; MIMO frequency-selective fading channel; affine precoding; channel estimation; decoding; for multiple-input multiple-output; linear precoding; orthogonal superimposed training; power allocation scheme; source detection; training sequence; Australia; Bandwidth; Channel estimation; Computational modeling; Decoding; Frequency estimation; Frequency-selective fading channels; Information technology; MIMO; Signal processing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Information Technology, 2006 IEEE International Symposium on
Conference_Location
Vancouver, BC
Print_ISBN
0-7803-9753-3
Electronic_ISBN
0-7803-9754-1
Type
conf
DOI
10.1109/ISSPIT.2006.270898
Filename
4042340
Link To Document