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这些是MIMO信道的程序,对于多天线无线通信系统的多输入多输出系统有很好的借鉴作用,希望对大家有所帮助.-MIMO channel procedures, for multi-antenna wireless communication systems for multi-input multi-output system is a good reference guide, we hope for some help.
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mimo系统中在高信噪比下，一个发射天线，两个接收天线的性能仿真。-mimo systems at high signal to noise ratio, a transmitting antenna, two receive antenna performance simulation.
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MIMO系统的发射天线数为2，接收天线为2，采用STBC编码，试利用Matlab仿真系统的误码性能。-MIMO systems transmit antennas is 2, the receiving antenna 2, the use of STBC encoding, try using Matlab simulation system error performance.
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Multiple input multiple output techniques combined
with orthogonal frequency division multiplexing (MIMO-OFDM)
provide a promising approach for wireless systems. However, a
serious drawback of the OFDM system is the high peak-toaverage
power
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Multiple input multiple output techniques combined
with orthogonal frequency division multiplexing (MIMO-OFDM)
provide a promising approach for wireless systems. However, a
serious drawback of the OFDM system is the high peak-toaverage
power
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From antenna spacings to theoretical capacities - Guidelines for simulating MIMO systems
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带反馈的MIMO系统误码率仿真，应用空时编码，4发天线qpsk调制-The bit error rate simulation of the MIMO systems with feedback, the application of space-time coding, four rounds of antenna qpsk modulation
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antenna selection with SIR analysis over MIMO systems
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采用多天线的认知无线电系统相对于单天线认知无线电系统，既有传统的资源（频域，时域，码域），又有空域资源。本文研究基于博弈论的有限反馈认知MIMO系统的资源分配，涉及发射功率、空域（采用波束成形）和反馈速率等资源的分配。利用有限的反馈信道反馈量化的信道状态信息(CSI)，基于量化CSI，本文主要研究联合功率分配与波束成形优化、次用户（认知用户或非授权用户）反馈速率控制、联合功率分配与反馈速率控制等相关资源分配问题。-Multi-antenna cognitive radio system with
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LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。-LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In M
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TRANSMIT/RECEIVE ANTENNA SELECTION FOR MIMO SYSTEMS TO IMPROVE ERROR PERFORMANCE OF LINEAR RECEIVERS
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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, Wide
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Optimization Techniques for MIMO radar
antenna systems
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Optimization Techniques for MIMO radar
antenna systems and genetic
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目前，以空间调制(Spatial Modulation，SM)、广义空间调制(Generalized Spatial Modulation，GSM)为代表的新型MIMO技术，成为4G以及5G的关键技术。空间调制系统在一个符号周期内，发送端只选择部分发送天线发送信号，从而大大提高了频谱效率，是大规模MIMO系统的重大突破。(At present, the new MIMO technology represented by spatial modulation (SM) and generaliz
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