IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Advanced Space-Time Block Codes and Low Complexity Near Optimal Detection for Future Wireless Networks

Advanced Space-Time Block Codes and Low Complexity Near Optimal Detection for Future Wireless Networks
View Sample PDF
Author(s): W. H. Chin (Institute for Infocomm Research, Singapore)and C. Yuen (Institute for Infocomm Research, Singapore)
Copyright: 2009
Pages: 23
Source title: Handbook on Advancements in Smart Antenna Technologies for Wireless Networks
Source Author(s)/Editor(s): Chen Sun (ATR Wave Engineering Laboratories, Japan), Jun Cheng (Doshisha University, Japan)and Takashi Ohira (Toyohashi University of Technology, Japan)
DOI: 10.4018/978-1-59904-988-5.ch006

Purchase

View Advanced Space-Time Block Codes and Low Complexity Near Optimal Detection for Future Wireless Networks on the publisher's website for pricing and purchasing information.

Abstract

Space-time block coding is a way of introducing multiplexing and diversity gain in wireless systems equipped with multiple antennas. There are several classes of codes tailored for different channel conditions. However, in almost all the cases, maximum likelihood detection is required to fully realize the diversity introduced. In this chapter, we present the fundamentals of space-time block coding, as well as introduce new codes with better performance. Additionally, we introduce the basic detection algorithms which can be used for detecting space-time block codes. Several low complexity pseudo-maximum likelihood algorithms will also be introduced and discussed.

Related Content

J. Mangaiyarkkarasi, J. Shanthalakshmi Revathy. © 2024. 34 pages.
Gummadi Surya Prakash, W. Chandra, Shilpa Mehta, Rupesh Kumar. © 2024. 22 pages.
Duygu Nazan Gençoğlan. © 2024. 35 pages.
Smrity Dwivedi. © 2024. 20 pages.
Pallavi Sapkale, Shilpa Mehta. © 2024. 21 pages.
Pardhu Thottempudi, Vijay Kumar. © 2024. 43 pages.
Sathish Kumar Danasegaran, Elizabeth Caroline Britto, S. Dhanasekaran, G. Rajalakshmi, S. Lalithakumari, A. Sivasangari, G. Sathish Kumar. © 2024. 18 pages.
Body Bottom