首页> 外文会议>2013 IEEE International Multi Conference on Automation, Computing, Control, Communication and Compressed Sensing >Leaky least mean square (LLMS) algorithm for channel estimation in BPSK-QPSK-PSK MIMO-OFDM system
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Leaky least mean square (LLMS) algorithm for channel estimation in BPSK-QPSK-PSK MIMO-OFDM system

机译:BPSK-QPSK-PSK MIMO-OFDM系统中用于信道估计的最小均方误差(LLMS)算法

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In broadband wireless channel multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable high data rate transmission and to mitigate intersymbol interference. High data rate system suffer from inter symbol interference (ISI). To estimate the desire channel at the receiver channel Estimation techniques are used and also enhance system capacity of system. The MIMO-OFDM system uses two independent space-time codes for two sets of two transmit antennas. The objective of this paper is to improve channel estimation accuracy in MIMO-OFDM system because channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential for reliable communication. This paper presents channel estimation scheme based on Leaky Least Mean Square (LLMS) algorithm proposed for BPSK-QPSK-PSK MIMO OFDM System. So by designing this we are going to analyze the terms of the Minimum Mean Squares Error (MMSE), and Bit Error Rate (BER) and improve Signal to Noise Ratio.
机译:在宽带无线信道多输入多输出(MIMO)通信系统中,结合正交频分复用(OFDM)调制技术,可以实现可靠的高数据速率传输并减轻符号间干扰。高数据速率系统遭受符号间干扰(ISI)。为了在接收器信道处估计期望信道,使用了估计技术,并且还增强了系统的系统容量。 MIMO-OFDM系统将两个独立的时空码用于两组两个发射天线。本文的目的是提高MIMO-OFDM系统中的信道估计精度,因为信道状态信息对于接收器处的信号检测是必需的,并且其状态精度会影响系统的整体性能,并且对于可靠的通信至关重要。本文提出了一种基于BPMS-QPSK-PSK MIMO OFDM系统提出的基于最小均方误差(LLMS)算法的信道估计方案。因此,通过对此进行设计,我们将分析最小均方误差(MMSE)和误码率(BER)的项,并改善信噪比。

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