On the sphere-decoding algorithm II. Generalizations, second-order statistics, and applications to communications

In Part I, we found a closed-form expression for the expected complexity of the sphere-decoding algorithm, both for the infinite and finite lattice. We continue the discussion in this paper by generalizing the results to the complex version of the problem and using the expected complexity expression...

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Bibliographic Details
Published in:	IEEE transactions on signal processing Vol. 53; no. 8; pp. 2819 - 2834
Main Authors:	Vikalo, H., Hassibi, B.
Format:	Journal Article
Language:	English
Published:	New York, NY IEEE 01.08.2005 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Applied sciences Channels Closed-form solution Coding, codes Complexity Decoding Exact sciences and technology Exact solutions Expected complexity Frequency frequency-selective channels Impulse response Information, signal and communications theory Lattices Mathematical analysis Maximum likelihood decoding Maximum likelihood detection multiple-antenna systems polynomial-time complexity Polynomials Signal and communications theory Signal processing algorithms Signal to noise ratio sphere decoding Statistics Studies Telecommunications and information theory Wireless communication wireless communications Channel with memory wireless communications Second order Wireless telecommunication Information rate Implementation Noise level sphere decoding Frequency selection Pulse response Algorithm complexity polynomial-time complexity Antenna array Fading channels frequency-selective channels multiple-antenna systems Order statistic Algorithm Information transmission Maximum likelihood decoding Polynomial time Statistical method Telecommunication system Expected complexity Time complexity Signal to noise ratio
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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