DocumentCode :
3416356
Title :
Low-complexity blind maximum-likelihood detection for SIMO systems with general constellations
Author :
Xu, Weiyu ; Stojnic, Mihailo ; Hassibi, Babak
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA
fYear :
2008
fDate :
March 31 2008-April 4 2008
Firstpage :
2817
Lastpage :
2820
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.
Keywords :
channel estimation; maximum likelihood detection; maximum likelihood estimation; mobile radio; sequential decoding; wireless channels; SIMO systems; VLSI implementation; channel estimation; dynamic mobile environment; general modulation constellations; high data rate reliable communications; low-complexity blind joint maximum-likelihood detection; numerical stability; sequential decoder; signal detection; single-input multiple-output wireless systems; Channel estimation; Constellation diagram; Energy consumption; Maximum likelihood decoding; Maximum likelihood detection; Maximum likelihood estimation; Mobile communication; Numerical stability; Signal detection; Very large scale integration; SIMO; blind ML detection; decoding complexity; maximum-likelihood; sphere decoder;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location :
Las Vegas, NV
ISSN :
1520-6149
Print_ISBN :
978-1-4244-1483-3
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2008.4518235
Filename :
4518235
Link To Document :
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