一种新型准调频解调器,可用作振幅受限信号的调幅解调器

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Roza Banitalebi Dehkordi, Mohsen Mivehchy, Mohammad Farzan Sabahi
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引用次数: 0

摘要

本文研究了振幅调制(AM)过程导致的正弦载波波形变化。在此分析基础上,提出了一种提取振幅信息的新方法。所提出的方法利用了振幅限制的特性,这种特性在过零点附近不会明显影响正弦信号的斜率。使用一个简单的比较器将零交叉点附近正弦斜率的变化转换为脉冲宽度的变化。我们提出了一个简单的电路,通过一个简单的控制回路保持比较器的输出脉冲宽度不变。通过模拟和实验测试评估了该方法的准确性。如果调制指数较高,并且检测器的输入信号振幅有限,那么所提出的方法至少可以提高 9 dB 的相对误差功率。然而,如果调制指数较小,与其他传统类型的调幅解调器相比,相对误差功率至少可提高 35 dB。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

A novel quasi-FM demodulator as AM demodulator for amplitude limited signals

A novel quasi-FM demodulator as AM demodulator for amplitude limited signals

This paper investigates the changes in the waveform of a sinusoidal carrier resulting from amplitude modulation (AM) process. Based on this analysis, a novel method for extracting amplitude information is proposed. The proposed method uses the behaviour of the amplitude limitation which does not significantly affect the slope of the sinusoidal signal near zero crossing points. A simple comparator is used to convert the changes in sinusoidal slope near zero crossing points into pulse width changes. A simple circuit is proposed which keeps the output pulse width of the comparator constant by a simple control loop. The accuracy of the method is evaluated through simulation and is experimentally tested. If the modulation index is high and the amplitude of the input signal to the detector is limited, the proposed method can yield up at least 9 dB improvement in relative error power. However, if the modulation index is small, the improvement in relative error power can be at least 35 dB compared to other conventional types of AM demodulators.

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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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