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Description: MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.
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Size: 790528 |
Author: Rafal |
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Description: Nonlinear uncertain systems design of robust sliding-mode observer
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Size: 1024 |
Author: wusonghua |
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Description: As a multi-carrier modulation scheme, Orthogonal Frequency Division Multiplexing (OFDM)
technique can achieve high data rate in frequency-selective fading channels by splitting a
broadband signal into a number of narrowband signals over a number of subcarriers, where
each subcarrier is more robust to multipath. The wireless communication system with multiple
antennas at both the transmitter and receiver, known as multiple-input multiple-output
(MIMO) system, achieves high capacity by transmitting independent information over different
antennas simultaneously. The combination of OFDM with multiple antennas has been
considered as one of most promising techniques for future wireless communication systems.
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Size: 2609152 |
Author: ashish |
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Description: MIMO Tool is a toolbox for MATLAB (it works fine in every version from 5.3 until 7.8) developed with the aim to offering a complete toolbox for continuous time MIMO linear systems analysis and robust control synthesis.
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Size: 1777664 |
Author: INESZBH |
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Description: 多变量多输入输出系统的鲁棒控制, 电子版，学习材料，欢迎下载-MIMO system robust control
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Size: 1298432 |
Author: ywauto |
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Description: 在多输入多输出系统中的鲁棒球形译码的实现-We present a maximum-likelihood decoding algorithm for an
arbitrary lattice code when used over an independent fading channel with
perfect channel state information at the receiver. The decoder is based on
a bounded distance search among the lattice points falling inside a sphere
centered at the receved point. By judicious choice of the decoding radius
we show that this decoder can be practically used to decode lattice codes
of dimension up to 32 in a fading environement.
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Size: 146432 |
Author: 应杰 |
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Description: Abstract-This paper proposes an adaptive robust fuzzy controller for the tracking problem of a class of uncertain nonlinear MIMO systems. The control signal is comprised of two parts. One part is an adaptive fuzzy controller which approximates the system unknown functions using an interval type-2 fuzzy approximator.
The other part is an H∞ based controller that is applied to attenuate the effect of disturbance and approximation error.
Moreover, it is assumed that only output variables are measurable. Therefore, a state observer is carried out to estimate the system states. To illustrate the effectiveness and resilience behavior of the proposed controller, simulation results for a two DOF robotic manipulator are presented.
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Size: 514048 |
Author: Moufid |
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Description: Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation [1]. LTE is interoperable
with widely used technologies such as GPRS, WCDMA and HSPA, and this enables mobile
operators deploying LTE to provide a seamless service and multimode devices for customers.
Some companies have already launched commercial LTE networks, e.g., Verizon Wireless in
the United States and Vodafone in Europe.
Here,the throughput of LTE physical layer in downlink transmissions is carried out. The various steps like CRC,turbo coding, code block segmentation,scrambling, modulation and precoding are also carried out.-Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation [1]. LTE is interoperable
with widely used technologies such as GPRS, WCDMA and HSPA, and this enables mobile
operators deploying LTE to provide a seamless service and multimode devices for customers.
Some companies have already launched commercial LTE networks, e.g., Verizon Wireless in
the United States and Vodafone in Europe.
Here,the throughput of LTE physical layer in downlink transmissions is carried out. The various steps like CRC,turbo coding, code block segmentation,scrambling, modulation and precoding are also carried out.
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Size: 4096 |
Author: anju |
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Description: Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation.
This code tests for the throughput performance of LTE physical downlink shared channel-Long-Term Evolution (LTE) is a new standard speci ed by 3GPP for fourth generation (4G)
wireless communications. LTE provides high spectral eciency, high peak data rates, short
round trip time, and frequency
exibility. It relies on the following technologies Orthog-
onal Frequency Division Multiplexing (OFDM) and Multiple-Input and Multiple- Output
(MIMO), robust channel coding, scheduling and link adaptation.
This code tests for the throughput performance of LTE physical downlink shared channel
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Size: 5120 |
Author: anju |
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Description: One of the most robust CFAR detectors in multiple target situations is Automatic Censored Mean Level Detector (ACMLD) which does not require any prior knowledge about the number of interfering targets. In this paper, ACMLD algorithm is generalized for Multiple Input-Multiple Output (MIMO) radar.
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Size: 653312 |
Author: ricky hsieh |
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Description: Robust Optimal PSO based Wavelet Feature
Selection in MIMO OFDM Systems
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Size: 138240 |
Author: sof |
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Description: 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 frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.-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 frequency
division multiplexing (OFDM) systems and address the issue of
channel estimation. Different other MIMO-OFDM, where
symbols at all tones are always available for decision-directed
channel estimation, in D-BLAST OFDM, we update estimated
channel parameters each time a layer is detected with a least
square (LS) approach, using a pieced combination of received signals
at previous and current OFDM blocks. The initial estimate is
further refined by a robust estimator to exploit the time correlation
of channel parameters among OFDM blocks. Computer simulation
results show the performance improvement over block-wise
channel estimation. It is also shown that D-BLAST with proposed
channel estimation is robust to fast fading of channel parameters.
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Size: 80896 |
Author: werad |
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Description: 空时自适应处理STAP资料
2017 Robust Adaptive Beamforming for Fast-Moving Target Detection With FDA-STAP Radar
2017 Robust joint design of transmit waveform and receive filter for MIMO radar space-time adaptive processing with signal-dependent interferences
2017 Training-Based Adaptive Transmit–Receive Beamforming for MIMO Radars
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Size: 1383524 |
Author: zhw5282411 |
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Description: 随着无线通信技术的快速发展和智能手机的迅速普及，人们对数据传输速率提出了更高的需
求。为进一步提高数据传输速率，通过增加基站天线数目构建大规模ＭＩＭＯ系统，是一种高效而相对
便捷的方式。大规模ＭＩＭＯ系统能深度发掘空间维的自由度，使得基站能够利用同一时频资源服务于
多个用户。本文探讨了大规模ＭＩＭＯ系统的导频污染问题及解决方案、适用于大规模ＭＩＭＯ系统的
信道模型以及低复杂度的传输技术与实现方法三项关键技术。与现有ＭＩＭＯ系统相比，大规模ＭＩＭＯ
系统能显著提高频谱效率、能量效率和系统的鲁棒性能。作为第五代移动通信（５Ｇ）最具潜力的研究内
容之一，大规模ＭＩＭＯ无线通信技术已引起国内外的广泛关注，但相关研究工作尚处在起步阶段，还有
大量的技术难点需要进一步突破。(so that the base station can use the same time-frequency resources to serve
Multiple users.In this paper, pilot frequency pollution of large scale MIMO system and its solution are discussed
Channel model, low complexity transmission technology and implementation method are three key technologies.Large scale MIMO compared to existing MIMO systems
The spectrum efficiency, energy efficiency and robust performance of the system can be significantly improved.As the fifth generation mobile communication (5G) has the most potential within the research)
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Size: 423936 |
Author: legend27 |
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