NDLI: Block-Orthogonal Space–Time Code Structure and Its Impact on QRDM Decoding Complexity Reduction

Content Provider	IEEE Xplore Digital Library
Author	Tian Peng Ren Yong Liang Guan Chau Yuen Er Yang Zhang
Copyright Year	2007
Abstract	Full-rate space time codes (STCs) with rate number of transmit antennas have high multiplexing gain, but high decoding complexity even when decoded using reduced-complexity decoders such as sphere or QRDM decoders. In this paper, we introduce a new code property of STC called block-orthogonal property, which can be exploited by QR-decomposition-based decoders to achieve significant decoding complexity reduction without performance loss. We show that such complexity reduction principle can benefit the existing algebraic codes such as Perfect and DjABBA codes due to their inherent (but previously undiscovered) block-orthogonal property. In addition, we construct and optimize new full-rate block-orthogonal STC (BOSTC) that further maximize the QRDM complexity reduction potential. Simulation results of bit error rate (BER) performance against decoding complexity show that the new BOSTC outperforms all previously known codes as long as the QRDM decoder operates in reduced-complexity mode, and the code exhibits a desirable complexity saturation property.
Sponsorship	IEEE Signal Processing Society
Starting Page	1438
Ending Page	1450
Page Count	13
File Size	3381954
File Format	PDF
ISSN	19324553
Volume Number	5
Issue Number	8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Complexity theory Space time codes Maximum likelihood decoding Matrix decomposition Bit error rate Transmitting antennas Decoding quasi-orthogonal STC Block-orthogonal space–time codes (STC) decoding complexity orthogonal STC QRD-M algorithm
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering

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