基于cma的盲均衡器的FPGA实现

Quan Wang, Ping Li, Rongbin Liu, Jian-Pin Li
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引用次数: 0

摘要

在PCM/FM遥感接收系统中,当比特率超过1Mbps时,信号会发生频率选择衰落,造成严重的码间干扰(ISI);电量补贴已不能保证系统配额。除了信号反射外,建筑物、地面、山脉和大气的折射最终都会成为多径干扰信号。因此,在接收机中的采样判决检测器之前,需要一个自适应滤波器进行均衡[1]。传统的方法是基于训练序列信道均衡。针对这两个问题,本文主要研究了基于自适应滤波理论的盲均衡问题;在FPGA上实现盲均衡器。
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Implementation of CMA-base blind equalizer on FPGA
In PCM/FM remote sensing receiving system, when the bit rate is above 1Mbps, the signal suffers frequency select fading, which causes the serious inter-symbol interference (ISI); power allowance can no longer guarantee the system quota. Besides signal reflection such as buildings, ground, mountains and atmospheric refraction eventually become the multipath interference signals. Thus an adaptive filter is needed for equalization before the sample-decision detector in the receiver [1]. The traditional method is based on training sequence channel equalization. However, considering to these two problems, two issues are discussed in this dissertation: blind equalization based on the adaptive filter theory; the realization of blind equalizer on FPGA.
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