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正交频分复用(OFDM) 是第四代移动通信的核心技术。该文首先简要介绍了OFDM基本原理,重点研究了理想同步情
况下,保护时隙(CP) 和不同的信道估计方法在高斯信道和多径瑞利衰落信道下对OFDM系统性能的影响。在给出OFDM系
统模型的基础上,用MATLAB语言实现了整个系统的计算机仿真并给出参考设计程序。最后给出在不同的信道条件下,保
护时隙、信道估计方法对OFDM系统误码率影响的比较曲线,得出了较理想的结论。-Orthogonal frequency division mult
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Orthogonal Frequency Division Multiplexing (OFDM)
systems are more sensitive to timing and frequency offsets than
single carrier systems. This Paper presents a method of joint time
and frequency synchronization for OFDM systems. The
synchroni
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0下载:
Orthogonal Frequency Division Multiplexing (OFDM)
systems are more sensitive to timing and frequency offsets than
single carrier systems. This Paper presents a method of joint time
and frequency synchronization for OFDM systems. The
synchroni
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0下载:
Orthogonal Frequency Division Multiplexing (OFDM)
systems are more sensitive to timing and frequency offsets than
single carrier systems. This Paper presents a method of joint time
and frequency synchronization for OFDM systems. The
synchroni
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In this paper, the impact of clipping noise on optical
wireless communication (OWC) systems employing orthogonal
frequency division multiplexing (OFDM) is investigated. The
two existing optical OFDM (O-OFDM) transmission schemes,
asymmetrical
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The 4g wireless uses Orthogonal Frequency Division Multiplexing (OFDM), Ultra Wide Radio Band (UWB), and Millimeter wireless. Data rate of 20mbps is employed. Mobile speed will be up to 200km/hr. The high performance is achieved by the use of long te
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Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal fr
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In this letter, we propose a simple orthogonal
frequency-division multiplexing (OFDM) scheme for an asynchronous cooperative system, where OFDM is implemented at the source node, and time-reversion and complex conjugation are implemented at the rel
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MU-MIMO is widely considered a key technology
for system capacity improvement in modern
wireless networks. In contrast to
SU-MIMO, where the spatial multiplexing gain
is confined to a single user, MU-MIMO allows
multiple users to be co-sche
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Signal identification represents the task of a receiver
to identify the signal type and its parameters, with applications
to both military and commercial communications. In this paper,
we investigate the identification of spatial multiplexing (
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