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单用户MIMO以及多用户MIMO的检测程序,包括最大似然检测,最小均方误差检测等的matlab实现，以及MIMO_OFDM主要程序-Single-user MIMO and multi-user MIMO testing procedures, including maximum likelihood detection, minimum mean square error detection matlab realize and the main program of MIMO_OFDM
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2X2 MIMO系统使用ML（最大似然）接受。（验证可用）-2X2 MIMO system using the ML (maximum likelihood) to accept. (Verification can be used)
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《通信信道处理》课程设计，内容为MIMO系统的性能仿真分析，内含MIMO系统的构建、Rayleigh信道、AWGN干扰、QPSK调制解调等，按照IEEE格式全英书写，请大家多多指教-Performance Analysis of Maximum Likelihood Detection in a MIMO Antenna System.pdf
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MIMO无线传输 无线传输 无线传输 -MIMO transmission model, JAKAFANI Quasi orthogonal space time block codes with four transmit and one receive antenans over flat fading channel with maximum likelihood detector (ML)
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The results for 2×2 MIMO with Maximum Likelihood (ML) equalization helped us to achieve a performance closely matching the 1 transmit 2 receive antenna Maximal Ratio Combining (MRC) case.
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It is a program for Maximum likelihood equalization for space time block codes in MIMO systems
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Maximum Likelihood equalization for STBC-MIMO systems
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The main goal of this work is to provide a unified theory of QSTBCs for four transmit antennas and
one (or more) receive antennas. The thesis consists of two main parts: In the first part we analyze the
QSTBCs transmission without any channel kno
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几种 MIMO 最大似然检测算法性能与复杂度比较及改进，介绍了半定松弛、分枝定界和堆栈三种低复杂度最大似然检测算法，并对其性能和复杂度进行了仿真分析，提出了改进的分枝定界和堆栈算法，仿真结果证明分枝定界和堆栈算法性能要优于半定松弛算法，分枝定界算法的复杂度低于堆栈算法且半定松弛算法以多项式复杂度取得了逼近最大似然的性能，同时改进算法加快了算法收敛速度，降低了计算复杂度和对存储空间的要求。
-Several maximum likelihood MIMO detection algorithm
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MIMO 最大似然算法代码 自己写的 仅做参考-MIMO maximum likelihood algorithm code
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多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行
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8x8 mimo design with near maximum likelihood
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多入多出(MIMO)系统可以获得比单发单收系统更高的容量，对于MIMO系统，最大似然检测是最优接收，但其
指数复杂度难以在实际中应用。针对该问题，结合格缩减理论提出了基于Householder变换的复数域格缩减算法，将该算法和
MIMO次优检测算法相结合，给出了量化判决方法，且该复数域格缩减算法复杂度小于实数域格缩减算法。仿真结果表明，
基于Householder变换复数域格缩减的MIMO次优检测算法，通过优化信道矩阵可以得到更好的判决域，取得了逼近最优最大
似然检测算法的性能。
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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 distanc
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VC2010及IT++4.2下实现MIMO的仿真-This example demonstrates how to use the Modulator_ND (MIMO) class for soft-output demodulation. The program simulates a simple convolutionally coded spatial-multiplexing (V-BLAST style) MIMO system with maximum-likelihood, a
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MIMO检测算法，联合多种调制方式，仿真对象为相应的误码率和容量等。-scr ipt for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel
Maximum Likelihood equalization
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在平稳瑞利多径信道下，用BPSK调制，用matlab 仿真由最大似然译码的性能。-It discuss a receiver structure called Maximum Likelihood (ML) decoding which gives us a better performance. We will assume that the channel is a flat fading Rayleigh multipath channel and the modulation is BP
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基于Matlab的MIMO通信系统仿真，使用最大似然译码准则。适合初学者使用-Simulation of MIMO communication system based on Matlab, using the maximum likelihood decoding criterion. Suitable for beginners to use
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Maximum likelihood detection for MIMO. all supporting file
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Low complexity maximum likelihood MIMO signal detection algorithm
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