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RLS算法在MATLAB上仿真实现的程序，用于通信信道估计。-RLS algorithm is implemented in MATLAB on a simulation program for the communication channel estimation
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给出了OFDM在卫星通信中的系统框图并
在Simulink中仿真实现，利用改进的CMA恒模算法进行盲均衡处理，来去除时变卫星信道对信号的影响,基于4阶累积量的方法
将OFDM信号与其他调制类型信号区分开来-OFDM is given in the satellite communication system block diagram and Simulation in Simulink using the modified constant modulus algorithm CMA
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This code is used for RLS channel estimation
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RLS Channel estimation of MIMO-OFDM System
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THis transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel,
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This paper compares performance of nite impulse
response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation resul
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RLS算法自适应信道估计的性能分析，详细介绍了RLS算法。-RLS adaptive channel estimation algorithm performance analysis, detailing the RLS algorithm.
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Different algorithm for channel estimation in OFDM system or PSK system: using Hilbert algorithm, LPF (Low Pass Filter), LMMSE, Zero forcing (ZF), rls,... and another result. Clear explaining & understanding
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MIMO-OFDM系统中一种改进的递归最小二乘(RLS)信道估计方法可以在不需要任何信道统计信息的前提下，利用前导训练序列和自适应遗忘因子对信道状态参数进行估计。-The modified recursion lest squares (RLS) channel estimation method exploits preamble training
sequences and adaptive forgetting factor to estimate channel state par
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Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
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文章介绍了自适应均衡技术在MIMO OFDM系统中的应用研究。-In this paper, an adaptive channel
estimation for MIMO OFDM is proposed. A set of pilot
tones first are placed in each OFDM block, then the
channel frequency response of these pilot tones are
adaptively estimat
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