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Downlink baseband receiver channel estimation in LMS-OFDM systems

机译:LMS-OFDM系统中的下行链路基带接收器信道估计

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World level transmission of information requires transmitter and receiver units to transmit any kind of information via wired and wireless communication system. A transmitter unit includes signal mapper, encoder, Serial to Parallel converter (S/P), and Inverse Fast Fourier Transform (IFFT) and guard interval. Reverse process of transmitter unit is called receiver. The proposed downlink base band receiver is designed with two transmitting antenna and one receiving antenna to provide high quality synchronization and channel estimation. A new Least Mean Square-Orthogonal Frequency Division Multiplexing (LMS-OFDM) technique is housed in the channel estimator of proposed wireless communication system to improve efficiency of the transmission. The objective of LMS algorithm is to acquire the useful information from a noisy signal. Implementation of LMS-OFDM block is possible only with the knowledge of the input signal statistics, almost unknown for the real-world problems. Proposed algorithm is simulated and tested by Simulink tool box present in MATLAB-12.1 and the performance analysis is carried out by the measurement of Bit Error Rate (BER) and Mean Square Error (MSE).
机译:信息的世界级传输需要发送器和接收器单元通过有线和无线通信系统传输任何类型的信息。发送器单元包括信号映射器,编码器,串行到并行转换器(S / P),快速傅里叶逆变换(IFFT)和保护间隔。发射器单元的反向过程称为接收器。所提出的下行链路基带接收机被设计为具有两个发射天线和一个接收天线,以提供高质量的同步和信道估计。提出的无线通信系统的信道估计器中采用了一种新的最小均方正交频分复用(LMS-OFDM)技术,以提高传输效率。 LMS算法的目的是从噪声信号中获取有用的信息。仅在了解输入信号统计信息的情况下,才可能实现LMS-OFDM块,而对于实际问题几乎是未知的。通过MATLAB-12.1中的Simulink工具箱对提出的算法进行了仿真和测试,并通过测量误码率(BER)和均方误差(MSE)进行了性能分析。

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