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有关于mimo系统的多用户检测的仿真，分别对1发4收、2发4收、3发4收、4发4收的情况进行的仿真，并给出了误码率曲线图-Mimo systems on the detection of multi-user simulation, respectively, close to 1 made 4, 2 fat, 4 close, 3 fat, 4 close, 4 fat, 4 close to the situation of the simulation, and gives a bit e
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做多用户检测的一些经典实用的仿真程序与大家分享了，有仿真结果，有备注易懂。-To do some of the classic multi-user detection practical simulation program to share with you, and there are simulation results, there are Notes easy to understand.
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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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MIMO-OFDM系统中信道估计和多用户相结合的程序-channel estimation and multiuser=detection in MIMO-OFDM system
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mimo-ofdm的多用户检测仿真，包括mrc，rgc，sc等多种方式对比-mimo-ofdm simulation of multi-user detection, including mrc, rgc, sc compare a variety of ways
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多用户MIMO系统上行检测算法方面的论文-Uplink Multi-user detection algorithm for MIMO systems
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多用户MIMO预编码技术：块对角化BD，分别采用SVD技术，最大似然检测，最小均方误差检测的误码率性能仿真代码。里面有代码，仿真图等。-Multi-user MIMO precoding techniques: block diagonalization BD, respectively, using the SVD technique, maximum likelihood detection, the minimum mean square error detection BER perfo
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提出了基于联合智能算法的MIMO-OFDM系统多用户检测算法。联合智能算法结合了粒子群优化算法、遗传算法、模拟退火算法的思想。-Joint intelligent algorithm is proposed based on multi-user detection algorithm of MIMO- OFDM system. Combined intelligent algorithm combining particle swarm optimization algorithm and g
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MIMO-OFDM wireless communications with matlab 例程。包含propagation and fading、SISO channel models、MIMO Channel models、intorduction to ofdm、 synchronization for ofdm、channel estimation、Papr reduction、inter-cell interference mitigation techniques MIMO chan
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移动通信系统中的干扰问题及解决方案，例如rls算法，MIMO多用户检测技术等参考资料!-
Interference problems and solutions in mobile communication systems, such as rls algorithm, MIMO multi-user detection techniques reference!
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这段代码实现的是基于MATLAB的MIMO-OFDM的系统多用户检测，采用的算法是粒子群优化算法，他能提高系统的性能-This code implementation is based on the MATLAB MIMO- OFDM system, multi-user detection is the particle swarm optimization algorithm, the algorithm used he can improve the performance of the
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多用户MIMO系统广播信道的一种信道反转方式处理下的预编码检测算法程序，给初学者可以借鉴一下-Multi-user MIMO system broadcast a channel inversion mode channel under the pre-treatment procedures encoding detection algorithm for beginners can learn it
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主要实现了接收天线数量和发送天线数量可配的mimo系统多用户检测，分别采用ML，MMSE，ZF检测方法，得到性能比较曲线。(The multi-user detection of mimo system with the number of receiving antennas and the number of transmitting antennas is mainly realized. The performance comparison curve is obtained by us
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