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Channel Estimation Based on LMS in Orthogonal Wavelet Packet Division Multiplexing

机译:正交小波包分割多路复用中基于LMS的信道估计

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In Orthogonal Frequency Division Multiplexing (OFDM), Fourier Transform (FT) is used as a modulation technique. To avoid Inter-symbol Interference (ISI) in OFDM by a time dispersive channel, a Cycle Prefix (CP) is used which also reduces its spectral efficiency. Discrete Wavelet Packet Transform (DWPT) as a modulation scheme has been proposed for wireless communication. In this paper, DWPT based OFDM is presented and proposed using Least Mean Square (LMS) algorithm for channel estimation. The dual-tree complex is used for OWPDM. Channel estimation is major factor in wavelets. LMS is proposed for OWPDM based on DWPT and compared with Minimum Mean Square Error (MMSE) algorithm and Least Square (LS) algorithm. The performance is measured in the multipath frequency selective fading channel. Simulation results show a clear improvement in Bit Error Rate (BER) for LMS over MMSE and LS.
机译:在正交频分复用(OFDM)中,傅立叶变换(FT)被用作调制技术。为了避免时间分散信道在OFDM中出现符号间干扰(ISI),使用了循环前缀(CP),这也降低了其频谱效率。已经提出了离散小波包变换(DWPT)作为用于无线通信的调制方案。在本文中,基于最小均方(LMS)算法提出并提出了基于DWPT的OFDM信道估计方法。双树复合体用于OWPDM。信道估计是小波中的主要因素。针对基于DWPT的OWPDM提出了LMS,并与最小均方误差(MMSE)算法和最小二乘(LS)算法进行了比较。在多径频率选择性衰落信道中测量性能。仿真结果表明,与MMSE和LS相比,LMS的误码率(BER)有了明显的提高。

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