Phân tích
Phức tạp MMSE
Detector Architectures cho MIMO
OFDM
I. INTRODUCTION
The ever increasing data rates in wireless communication
systems require the use of large bandwidths. Orthogonal
frequency division multiplexing (OFDM) [1] has become
a widely used technique to significantly reduce receiver
complexity in broadband wireless systems. Multiple-input
multiple-output (MIMO) channels offer improved capacity
and significant potential for improved reliability compared
to single antenna channels [2]. In the case of rich scatter
ing environment layered space-time (LST) architectures [3],
[4] combined with channel coding represent pragmatic yet
powerful methods to increase the user data rate in systems
with multi-element antenna arrays (MEAs). MIMO techniques
in combination with OFDM technique (MIMO-OFDM) have
been identified as a promising approach for high spectral
efficiency wideband systems [5], [6].
The OFDM technique drastically simplifies receiver design
by decoupling the intersymbol interference, i.e., a frequency
selective, MIMO channel into a set of parallel flat fading
MIMO channels [6]. However, the reception of the MIMO
OFDM signal has to be performed separately for each sub
carrier. The optimal joint detection and decoding for LST
architectures would require the use of a maximum likelihood
(ML) algorithm. However, the computational complexity of
optimal ML decoding is beyond the limit of most systems, and,
thus, such an approach is not feasible. A suboptimal approach
is to use separate suboptimal solution steps for detection and
decoding, such as zero forcing (ZF) and minimum mean
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Phức tạp MMSE
Detector Architectures cho MIMO
OFDM
I. INTRODUCTION
The ever increasing data rates in wireless communication
systems require the use of large bandwidths. Orthogonal
frequency division multiplexing (OFDM) [1] has become
a widely used technique to significantly reduce receiver
complexity in broadband wireless systems. Multiple-input
multiple-output (MIMO) channels offer improved capacity
and significant potential for improved reliability compared
to single antenna channels [2]. In the case of rich scatter
ing environment layered space-time (LST) architectures [3],
[4] combined with channel coding represent pragmatic yet
powerful methods to increase the user data rate in systems
with multi-element antenna arrays (MEAs). MIMO techniques
in combination with OFDM technique (MIMO-OFDM) have
been identified as a promising approach for high spectral
efficiency wideband systems [5], [6].
The OFDM technique drastically simplifies receiver design
by decoupling the intersymbol interference, i.e., a frequency
selective, MIMO channel into a set of parallel flat fading
MIMO channels [6]. However, the reception of the MIMO
OFDM signal has to be performed separately for each sub
carrier. The optimal joint detection and decoding for LST
architectures would require the use of a maximum likelihood
(ML) algorithm. However, the computational complexity of
optimal ML decoding is beyond the limit of most systems, and,
thus, such an approach is not feasible. A suboptimal approach
is to use separate suboptimal solution steps for detection and
decoding, such as zero forcing (ZF) and minimum mean
Do Drive thay đổi chính sách, nên một số link cũ yêu cầu duyệt download. các bạn chỉ cần làm theo hướng dẫn.
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