|
|
马上注册，结交更多好友，享用更多功能，让你轻松玩转社区。
您需要 登录 才可以下载或查看，没有账号？注册
x
Abstract
Rapid growth in mobile computing and other wireless multimedia services is inspiring
many research and development activities concerning high-speed wireless
communication systems. The main challenges in this area include the development
of efficient coding and modulation techniques to improve the quality and spectral
efficiency of wireless systems. Multiple-input multiple-output (MIMO) techniques
for wireless communication have recently emerged and offer a powerful paradigm
for meeting these challenges. In particular, MIMO systems constitute a unified
way of modeling a wide range of different communication channels, which can be
handled with a compact vector-matrix notation. This thesis proposes new signal
processing techniques for two representative cases of MIMO systems: (a) systems
employing multiple transmit and receive antennas, and (b) systems with multiple
users transmitting simultaneously and overlapping in both time and frequency.
Owing to the common MIMO system model notation, similar signal processing
techniques are applicable to both scenarios as will be demonstrated in the thesis.
Chapter 2 gives an overview of the recent development in space-time coding
and signal processing techniques for MIMO communication systems having multiple
antennas. We first review the information theoretic results on the capacities
of wireless systems employing multiple transmit and receive antennas. We then
describe two representative categories of space-time systems, namely, the BLAST
systems and systems employing space-time block coding. The extension ofMIMO
techniques to frequency-selective channels is also addressed. Finally, alternative
coding and signal processing techniques for wireless systems employing multiple
transmit and receive antennas are also briefly touched upon.
The most costly element of a multiple antenna device is usually the RF chains
(amplifiers, filters, digital-to-Analog converters, etc.). A promising approach for
reducing the cost and complexity while retaining a reasonably large fraction of
the high potential data rate of a MIMO system is to employ a reduced number of |
|
/1 
eetop公众号
创芯大讲堂
创芯人才网
发表于 2009-3-14 14:22:02
