Showing 201 - 220 results of 724 for search '"MIMO"', query time: 0.05s Refine Results
  1. 201

    Neural Network L1 Adaptive Control of MIMO Systems with Nonlinear Uncertainty by Hong-tao Zhen, Xiao-hui Qi, Jie Li, Qing-min Tian

    Published 2014-01-01
    “…An indirect adaptive controller is developed for a class of multiple-input multiple-output (MIMO) nonlinear systems with unknown uncertainties. …”
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    Article
  2. 202

    Antenna Array Design in MIMO Radar Using NSK Polynomial Factorization Algorithm by Shuainan Gu, Ke Li, Xiukun Ren, Na-e Zheng

    Published 2016-01-01
    “…Simulations confirm the wide use of the proposed algorithm in MIMO radar antenna array design.…”
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    Article
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    Probabilistic Behavior Analysis of MIMO Fading Channels under Geometric Mean Decomposition by Ping-Heng Kuo, Pang-An Ting

    Published 2012-01-01
    “…Geometric mean decomposition (GMD) has been proposed as a method to realize multiple spatial links with identical gains that are intrinsic to a MIMO channel. In order to simplify system design and implementation based on knowledge regarding probability behavior of MIMO-GMD schemes, the main objective of this paper is to statistically characterize the link gains and channel capacities that can be provided via GMD. …”
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    Design and Implementation of High Frequency Broadband Gbit/s System Based on MIMO-OFDM by Junyu Peng, Sunzeng Cai, Zhenghang Zhu, Jing Xu, Ting Zhou

    Published 2014-06-01
    “…Spectrum bands below 6 GHz have been crowded currently,but demand for high speed wireless communication in low speed environment is growing.Research and development of high-frequency wireless communication system is an important way to alleviate this problem.System structure for high frequency broadband communication was proposed.Physical layer key algorithm such as synchronization,channel estimation and MIMO detection was described briefly.The high frequency broadband Gbit/s system based on MIMO-OFDM was implemented on FPGA based hardware platform.Bandwidth and data rate of the system was tested in indoor environment.Test result shows that performance of the system conforms to design requirements.…”
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  9. 209

    Hybrid precoding method for mmWave MIMO systems based on limited feedback by Ruonan YOU, Peng PAN, Dan ZHANG, Haiquan WANG

    Published 2018-08-01
    “…A hybrid precoding algorithm for millimeter wave (mmWave) MIMO systems without knowledge of channel state information at the transmitter was proposed based on the limited feedback.Specifically, the joint optimization problem of analog precoding and digital precoding was firstly separated into two independent optimization problems, which correspond to the analog precoding and digital precoding respectively.Based on this analog precoding codebook, the best precoding matrix was selected by analog precoding in the designed analog precoding codebook.Secondly, according to the obtained analog precoding matrix, the digital precoding matrix was obtained through the least square method, and then, the codeword closest to it in the random vector quantization codebook was selected as the feedback digital precoding matrix.Finally, the receiver feeds the index values of the analog and digital precoding matrices back to the transmitter.Simulation results show that the proposed algorithm can achieve better balance between complexity and performance.…”
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    Pilot Design for Sparse Channel Estimation in Large-Scale MIMO-OFDM System by Chao Xu, Jianhua Zhang, Mengmeng Liu, Changchuan Yin

    Published 2016-01-01
    “…The pilot design problem in large-scale multi-input-multioutput orthogonal frequency division multiplexing (MIMO-OFDM) system is investigated from the perspective of compressed sensing (CS). …”
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  12. 212

    Self-Isolated Surface-Mountable MIMO Antenna for FR1 Band Communications by Arpita Patel, Abdulkarem H. M. Almawgani, Trushit Upadhyaya, Vishal Sorathia, Vipul Dabhi, Seif Shebl

    Published 2024-01-01
    “…The proposed surface-mountable self-isolated MIMO antenna covers n78 and n79 5G frequency bands. …”
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    AOA, Delay, and Complex Propagation Factor Estimation for the Monostatic MIMO Radar System by Saleh O. Al-Jazzar, Sami Aldalahmeh

    Published 2018-01-01
    “…These estimates can be used as initializations for other MIMO radar methods, such as the maximum likelihood algorithm. …”
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  18. 218

    Switching MIMO System with Adaptive OFDM Modulation for Indoor Visible Light Communication by Xinyue Guo, Keer Zhang, Xufa Huang

    Published 2018-01-01
    “…In this paper, we propose and experimentally demonstrate a switching multiple input and multiple output (MIMO) system combining with adaptive orthogonal frequency division multiplexing (OFDM) modulation for high-speed indoor visible light communications. …”
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  19. 219

    On the MIMO Capacity for Distributed System under Composite Rayleigh/Rician Fading and Shadowing by Santiago González-Aurioles, J. L. Padilla, P. Padilla, Juan F. Valenzuela-Valdés, Juan C. Gonzalez-Macias

    Published 2015-01-01
    “…This type of fading is proposed for massive MIMO by others and our results open the door to emulate massive MIMO on a reverberation chamber.…”
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  20. 220

    Joint estimation method of target number and orientation parameters for FDA-MIMO radar by Helin SUN, Hongyuan GAO, Yanan DU, Jianhua CHENG, Yapeng LIU

    Published 2023-02-01
    “…To address the problem that the frequency diverse array MIMO (FDA-MIMO) radar requires a priori information on the target number when locating multiple targets and the multidimensional parameter estimation consumes a large amount of computation, a joint estimation method was proposed.The angle and distance dependence of the FDA-MIMO were utilized to transform the estimation of target number and orientation parameters into a multimodal optimization problem on the spatial spectrum, and a density-based multimodal differential evolution algorithm was designed to solve it, which reduced the computational load and did not require a separate target number estimation algorithm.Simulation results show that the proposed method outperformed the existing methods in estimating the target number and orientation parameters.It overcomes the application limitations of the existing orientation parameter estimation methods and can obtain optimal estimation results without quantization error.…”
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