基于LMS自适应算法的OFDM信道估计

2017 International Conference on Computer, Communication and Signal Processing (ICCCSP) Pub Date : 1900-01-01 DOI:10.1109/ICCCSP.2017.7944100

E. Krishna, K. Sivani, K. Reddy

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引用次数: 8

摘要

频谱效率高的正交频分复用(OFDM)通过保持子载波间的正交性，为消除码间干扰(ISI)提供了理想的解决方案。对于多载波通信系统，在严重信道衰落条件下，无线信道脉冲响应(CIR)变化迅速。固定步长(FSS)自适应滤波(AF)为缓慢变化衰落信道的信道估计和均衡提供了一条出路。在这项工作中，自适应步长(ASS)最小均方(LMS) AF用于OFDM信道均衡的目的。并与变步长LMS (VSS)和归一化LMS (NLMS)算法进行了性能比较。通过误码率(BER)和均方误差(MSE)参数对该算法的优越性进行了评价。

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OFDM channel estimation using novel LMS adaptive algorithm

Spectrally efficient orthogonal frequency division multiplexing (OFDM) offers an ideal solution to inter symbol interference (ISI), by maintaining the orthogonality among subcarriers. For a multi carrier (MC) communication system, the wireless channel impulse response (CIR) varies rapidly under severe channel fading conditions. Fixed step size (FSS) adaptive filtering (AF) provides a way out for channel estimation and equalization, in slow varying fading channels. In this work, an adaptive step size (ASS) least mean squares (LMS) AF is utilized for the purpose of OFDM channel equalization. The performance of the proposed ASS-LMS AF is compared with variable step size (VSS) LMS and normalized LMS (NLMS) algorithms. The superiority of the proposed ASS LMS algorithm is evaluated by the bit error rate (BER) and mean square error (MSE) parameters, which shows an improvement.

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2017 International Conference on Computer, Communication and Signal Processing (ICCCSP)

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