Improving MIMO detection by L-value analysis and adaptive threshold-based cancellation

Author

Boronka, Alexander ; Efinger, Daniel ; Speidel, Joachim

Author_Institution

Inst. of Telecommun., Stuttgart Univ., Germany

Volume

4

fYear

2003

fDate

1-5 Dec. 2003

Firstpage

2099

Abstract

We present an improved algorithm for the detection of the received signal of a convolutionally encoded wireless MIMO system. The method is based on the BLAST (Bell Labs layered space-time) algorithm with successive interference cancellation. Compared to existing solutions, cancellation is done adaptively. The receiver uses a MAP soft output demapper combined with an iterative (turbo) decoder. Adaptive symbol cancellation is done using a threshold which takes the reliability of a symbol decision into account. Cancellations of wrongly decided symbols are reduced to a large extent. As a result, we obtain an SNR gain of 1 to 1.5 dB for Rayleigh fading MIMO channels with additive white Gaussian noise.

Keywords

AWGN channels; MIMO systems; Rayleigh channels; convolutional codes; interference suppression; iterative decoding; radiofrequency interference; reliability; signal detection; AWGN channels; BLAST algorithm; L-value analysis; MAP soft output demapper; MIMO detection; Rayleigh fading channels; SNR gain; adaptive cancellation; adaptive symbol cancellation; adaptive threshold-based cancellation; additive white Gaussian noise; convolutional code; iterative decoder; reliability; signal detection; successive interference cancellation; turbo decoder; Adaptive signal detection; Algorithm design and analysis; Convolutional codes; Interference cancellation; Iterative algorithms; MIMO; Receiving antennas; Signal analysis; Signal to noise ratio; Transmitters;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 2003. GLOBECOM '03. IEEE

Print_ISBN

0-7803-7974-8

Type

conf

DOI

10.1109/GLOCOM.2003.1258606

Filename

1258606