DocumentCode
961507
Title
Modified fast recursive algorithm for efficient MMSE-SIC detection of the V-BLAST system
Author
Liu, Tsung-Hsien ; Liu, Yu-Lin Yeh
Author_Institution
Nat. Chung Cheng Univ., Chia-Yi
Volume
7
Issue
10
fYear
2008
fDate
10/1/2008 12:00:00 AM
Firstpage
3713
Lastpage
3717
Abstract
Detection of transmitted symbols in a V-BLAST system using the minimum mean squared error criterion with successive interference cancellation (MMSE-SIC) can provide satisfactory bit error rate performance at the cost of moderate computational complexity. The fast recursive algorithm (FRA), developed by Benesty et al., is one of the well-known implementation algorithms for the MMSE-SIC detector. We modify the FRA to compute an ordered set of nulling vectors from the estimated channel information. Our modified FRA can be used with the transformation based successive interference cancellation procedure to process a V-BLAST frame that contains the preamble and payload. To our knowledge, such implementation of the MMSE-SIC detector requires the lowest complexity to process a frame of preamble and payload.
Keywords
channel capacity; channel estimation; computational complexity; error statistics; interference suppression; least mean squares methods; signal detection; V-BLAST system; bit error rate performance; channel information estimation; computational complexity; efficient MMSE-SIC detection; fast recursive algorithm; minimum mean squared error criterion-successive interference cancellation; nulling vectors; Bit error rate; Computational complexity; Computational efficiency; Detectors; Interference cancellation; MIMO; Payloads; Receiving antennas; Silicon carbide; US Department of Transportation; BLAST architecture, multiple input multiple output (MIMO) system, minimum mean squared error (MMSE) detection, successive interference cancellation (SIC), spatially multiplexed MIMO system;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/T-WC.2008.070487
Filename
4657316
Link To Document