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Application of blind equalization algorithm in multipath channel

机译:盲均化算法在多径信道中的应用

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5G wireless communication is widely used by many operators because of its high speed, low delay and large capacity. However, with the development of society, the environment of wireless communication channel is becoming more and more complex, which makes the signal transmission affected by multipath channel, resulting in large inter symbol interference, resulting in high bit error rate. In order to improve the quality of 5g communication, a blind equalization algorithm based on m-ldpc code is proposed. According to the time-varying fading characteristics of multipath channel, the channel model is constructed, and the input signal is recombined with M-ary LDPC code to improve the signal robustness. Then, the blind equalization algorithm is used to adaptively adjust the filter parameters to compensate for the influence caused by multipath channel, so as to reduce the inter symbol interference (ISI) and the bit error rate (BER). Simulation results show that the proposed algorithm can effectively suppress ISI, reduce bit error rate and improve communication quality.
机译:由于其高速,低延迟和大容量,因此许多操作员广泛使用5G无线通信。然而,随着社会的发展,无线通信信道的环境变得越来越复杂,这使得受多径信道影响的信号传输,导致符号帧间的帧间干扰,导致高比特差速率。为了提高5G通信的质量,提出了一种基于M-LDPC码的盲均衡算法。根据多径信道的时变衰落特性,构造了通道模型,并将输入信号与M-ARY LDPC码重新组合以改善信号鲁棒性。然后,盲均衡算法用于自适应地调整滤波器参数以补偿由多径信道引起的影响,从而减少符号间干扰(ISI)和误码率(BER)。仿真结果表明,该算法可以有效地抑制ISI,减少误码率并提高通信质量。

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