Conference proceeding
Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations
2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2817-2820
03/2008
DOI: 10.1109/ICASSP.2008.4518235
Abstract
The demand for high data rate reliable communications poses great challenges to the next generation wireless systems in highly dynamic mobile environments. In this paper, we investigate the joint maximum-likelihood (ML) channel estimation and signal detection problem for single-input multiple-output (SIMO) wireless systems with general modulation constellations and propose an efficient sequential decoder for finding the exact joint ML solution. Unlike other known methods, the new decoder can even efficiently find the joint ML solution under high spectral efficiency non-constant- modulus modulation constellations. In particular, the new algorithm does not need such preprocessing steps as Cholesky or QR decomposition in the traditional sphere decoders for joint ML channel estimation and data detection. The elimination of such preprocessing not only reduces the number of floating point computations, but also will potentially lead to smaller size and power consumption in VLSI implementations while providing better numerical stability.
Details
- Title: Subtitle
- Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations
- Creators
- Weiyu Xu - California Institute of TechnologyMihailo Stojnic - California Institute of TechnologyBabak Hassibi - California Institute of Technology
- Resource Type
- Conference proceeding
- Publication Details
- 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, pp.2817-2820
- DOI
- 10.1109/ICASSP.2008.4518235
- ISSN
- 1520-6149
- eISSN
- 2379-190X
- Publisher
- IEEE
- Language
- English
- Date published
- 03/2008
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984197335002771
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