Description: MIMO指多输入多输出，MIMO技术大致可以分为两类：发射/接收分集和空间复用。传统的多天线被用来增加分集度从而克服信道衰落，具有相同信息的信号通过不同的路径被发送出去，在接收机端可以获得数据符号多个独立衰落的复制品，从而获得更高的接收可靠性。这种技术往往要结合多天线技术，而多天线技术在移动通信中得到了广泛的研究。-MIMO refers to Multiple Input Multiple Output, MIMO technology can be broadly classified into two categories: transmit/receive diversity and spatial multiplexing. Traditional multi-antenna was used to increase the degree of diversity to overcome channel fading, the signal with the same information through different paths have been sent in the receiver-side data symbols can be multiple independent copies of the decline, which was higher reception reliability. This technology often have to combine multi-antenna technology, and multi-antenna technology in mobile communication has been widely studied. Platform: |
Size: 1024 |
Author:曹作恺 |
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Description: This paper deals with the capacity behavior of wireless Orthogonal Frequency Division Multiplexing
(OFDM)-based spatial multiplexing system when considering realistic channel delay profiles.
In both the SISO and the MIMO contexts, we compare the deterministic, ergodic and outage
capacities for the channel with realistic profile to the one with simplified profile Platform: |
Size: 153600 |
Author:Safa |
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Description: 在MIMO-ofdm系统中，空时分组编码STBC对系统性能的测试，给出信噪比和误码率的关系图形。-In the MIMO-ofdm systems, space-time block coding STBC on the system performance test, given the relationship between SNR and bit error rate graphics. Platform: |
Size: 22528 |
Author:hquwgz |
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Description: Error Performance of Ultrawideband MIMO
Spatial Multiplexing Systems
Abstract—Multiple-input multiple-output spatial multiplexing
(MIMO-SM) ultrawideband (UWB) systems with orthogonal
frequency division multiplexing (OFDM) signaling are developed.
It is shown that the proposed linear and nonlinear receivers offer
substantial spatial diversity beside data rate enhancement. Platform: |
Size: 64512 |
Author:sasa |
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Description: 2*2空间复用信道MIMO仿真
其中包含整套通信系统的编码解码，调制解调，噪声信道，并有文件对应说明文档-2* 2 MIMO spatial multiplexing channel communication system simulation package which contains the coding and decoding, modulation and demodulation, channel noise, and the corresponding documentation file Platform: |
Size: 19456 |
Author:Brandon |
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Description: PERFORMANCE ANALYSIS OF MUTUAL INFORMATION DISTRIBUTION IN A MULTIUSER BASED ENVIRONMENT USING OFDM SPATIAL MULTIPLEXING Platform: |
Size: 123904 |
Author:DEBALINA BANERJEE |
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Description: Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model. Our proposed scheme is effective in estimating and compensating for frequency-independent and frequency dependent transmit and receive ICI in the presence of a carrier frequency offset.-Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model. Our proposed scheme is effective in estimating and compensating for frequency-independent and frequency dependent transmit and receive ICI in the presence of a carrier frequency offset. Platform: |
Size: 1942528 |
Author:sivadeep |
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Description: Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model.-Multiple input multiple output orthogonal frequency division multiplexing (MIMO-OFDM) is very sensitive to the carrier frequency offset (CFO), which not only affects the channel estimation but also the selection of a minimum error probability based precoder for peak-to-average power ratio (PAPR) reduction such that the system performance will degrade. This paper presents the joint scheme of CFO) and channel estimation in the MIMO-OFDM systems with the minimum error probability based precoder for reducing PAPR. We provide the solution to eliminate the effects of ICI due to CFO mismatch for OFDM with space frequency block codes and spatial multiplexing, drive a generalized linear model and propose a non-iterative reduced complexity model. Platform: |
Size: 1024 |
Author:sivadeep |
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Description: the effects of neural
network aided estimation in such receivers are considered. Neural
network acts as a pre-processing block to the estimator.-Orthogonal frequency division multiplexing (OFDM) has
high data rate capacity and lower Inter Symbol Interference (ISI)
and is considered as the best solution for next generation mobile
communication. Multiple Inputs and Multiple Output (MIMO)
antenna system improve reception through spatial diversity and
high end coding. Combining these two, offers high interference
mitigation in wireless receivers. In this paper, the effects of neural
network aided estimation in such receivers are considered. Neural Platform: |
Size: 344064 |
Author:wangxx |
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Description: This course provides advanced knowledge of wideband wireless communication
techniques. It include the areas of diversity: Time diversity, Space diversity, Frequency
TELE9753 Advanced Wireless Communications 2
diversity; Wideband CDMA systems, Wideband OFDM systems, antenna arrays, MIMO
channel modeling in the angular domain and statistical models, smart antennas
techniques, multiple-input/multiple-output communications systems, spatial multiplexing,
space-time processing and coding; and multiuser detection and receiver designs, multiple
access and interference management, opportunistic communication, multiuser
water filling. Platform: |
Size: 92160 |
Author:Khan17
|
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Description: we shed light on the
potential and implementation of index modulation (IM) techniques for MIMO and multi-carrier communications
systems which are expected to be two of the key technologies for 5G systems. Specifically, we focus on two
promising applications of IM: spatial modulation (SM) and orthogonal frequency division multiplexing with IM
(OFDM-IM), and we discuss the recent advances and future research directions in IM technologies towards spectral
and energy-efficient 5G wireless networks. Platform: |
Size: 5120 |
Author:syee |
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Search - Spatial Multiplexing ofdm