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这个是我自己写的一个关于qpsk的mimo信道的zero forcing解码方式.-this is what I wrote in one of the qpsk mimo channels zero forcing Solutions Codes mode.
Update : 2025-02-17 Size : 1kb Publisher : oliver

这是李晓华博士关于MIMO盲均衡的系统matlab源码,其中设计二阶统计,CMA均衡器,以及子空间方法。-This is Dr. Li Xiaohua on MIMO blind equalization system Matlab source, Design order statistics which, CMA equalizer, and subspace methods.
Update : 2025-02-17 Size : 100kb Publisher : 到达

MIMO信道横模均衡算法,可以实现2×2MIMO系统的信道均衡。-Transverse mode MIMO channel equalization algorithm, can achieve 2 × 2MIMO system channel equalization.
Update : 2025-02-17 Size : 1kb Publisher : 游月辉

reigh信道环境下OFDM&MIMO技术的MATLAB代码实现-environment reigh channel OFDM & MIMO technology MATLAB code implementation
Update : 2025-02-17 Size : 11kb Publisher : 刘伟

training based channel equalization
Update : 2025-02-17 Size : 1kb Publisher : Gaurav

一个MIMO 2*2系统的误码率仿真,收端采用MMSE-SIC检测方式-computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error Equalization with Successive Interference Cancellation
Update : 2025-02-17 Size : 2kb Publisher : 张群

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error equalization - Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error equalization
Update : 2025-02-17 Size : 2kb Publisher : mohanad1

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing Equalization with Successive Interference Cancellation (ZF-SIC)-Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing Equalization with Successive Interference Cancellation (ZF-SIC)
Update : 2025-02-17 Size : 2kb Publisher : mohanad1

MIMO in a Rayleigh fading channel using zero-forcing equalization.
Update : 2025-02-17 Size : 1kb Publisher : Quy

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.
Update : 2025-02-17 Size : 1kb Publisher : Umashankar Dewangan

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使用BPSK調變在Rayleigh fading channel with 2 Tx, 2Rx MIMO channel 利用MMSE 等化器的方法 對於研究了解 MIMO 是一個很重要的模擬,非常實用- Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Minimum Mean Square Error equalization
Update : 2025-02-17 Size : 1kb Publisher : 鄭令儀

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利用Zero Forcing 等化器的方法, 使用BPSK調變在Rayleigh fading channel with 2 Tx, 2Rx MIMO channel,對於研究了解 MIMO 如何消除雜訊而言是一個很重要的模擬,非常實用-Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing equalization
Update : 2025-02-17 Size : 1kb Publisher : 鄭令儀

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Equalization for MIMO-OFDM system
Update : 2025-02-17 Size : 1kb Publisher : Tri

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing Equalization with Successive Interference Cancellation (ZF-SIC) with optimal ordering- Script for computing the BER for BPSK modulation in a Rayleigh fading channel with 2 Tx, 2Rx MIMO channel Zero Forcing Equalization with Successive Interference Cancellation (ZF-SIC) with optimal ordering
Update : 2025-02-17 Size : 2kb Publisher : saleem

It is a program for Maximum likelihood equalization for space time block codes in MIMO systems
Update : 2025-02-17 Size : 7kb Publisher : bunny

MIMO信道均衡的matlab代码,可以直接使用。-code with matlab format for channel MIMO equalization.
Update : 2025-02-17 Size : 1kb Publisher : zhwx

Maximum Likelihood equalization for STBC-MIMO systems
Update : 2025-02-17 Size : 634kb Publisher : kio

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此程序只要实现了MIMO中的LMS自适应均衡-This program as long as the realization of the MIMO LMS Adaptive Equalization in
Update : 2025-02-17 Size : 1kb Publisher : xingzhang

Ajey, S., B. Srivalli, et al. (2010). On performance of MIMO-OFDM based LTE systems. Wireless Communication and Sensor Computing, 2010. ICWCSC 2010. International Conference on. 4G wireless systems predominately employ multiple input multiple output (MIMO) with an orthogonal frequency division multiplexing (OFDM) system. Like other 4G systems long term evolution (LTE) also employs MIMO-OFDM physical layer. MIMO helps in increasing the throughput whereas OFDM converts a frequency selective fading channel to multiple flat fading sub-channels facilitating easy equalization. It is proposed that LTE system should mandatorily support 2Ã — 2 MIMO setup. Our paper focuses on the performance of such a LTE system with two transmit antennas and two receive antennas in a frequency selective fading environment.
Update : 2025-02-17 Size : 304kb Publisher : Lakmali

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MATLAB particle swarm algorithm, realize the MIMO equalization.
Update : 2025-02-17 Size : 70kb Publisher : huxiaofeng
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