基于LabVIEW的信号调制识别研究与应用

发布时间：2018-01-27 00:20

本文关键词： 调制识别特征提取高阶累积量瞬时特征 LabVIEW　出处：《北京邮电大学》2014年硕士论文　论文类型：学位论文

【摘要】：为了在当前复杂的通信环境中更加有效和可靠地进行信息传输,多种信号调制技术被应用到通信系统中。与此同时,信号调制识别技术在军用和民用领域的应用逐渐引起人们的重视,如何有效地识别信号的调制方式也越来越受到人们的关注。为了弥补只基于高阶累积量或信号瞬时特征等单一信号调制识别算法的不足,本文在调制信号特征参数提取和分类识别研究的基础上,提出了基于高阶累积量与信号瞬时特征的特征参数提取方法,并根据获得的特征参数,提出了性能良好的基于决策树的调制信号分类识别方法。此外,设计实现了基于LabVIEW的信号调制识别系统,将提出的信号调制识别算法很好地应用到了实际工程中。本文的主要工作包括： 1.详细分析了信号的调制原理,包括模拟调制与数字调制,并给出了相应的调制信号时域和频域波形以及特性介绍。重点研究了AM、2ASK、4ASK、2FSK、4FSK、8FSK、2PSK、4PSK、16QAM九种模拟、数字信号理想情况下及信噪比为5dB情况下的时域波形。 2.研究了信号调制识别中的特征参数提取和分类识别等关键技术。提出了基于高阶累积量与信号瞬时特征的特征参数提取方法,利用决策树分类器,提出了基于决策树的调制信号分类识别方法并进行了仿真实验。实验结果表明,本文提出的信号调制识别算法设计简单,可以有效地识别AM、2ASK、4ASK、2FSK、4FSK、8FSK、2PSK、4PSK、16QAM九种模拟、数字信号。 3.研究了基于LabVIEW的系统开发的关键技术,在提出的信号调制识别算法的基础上,设计实现了基于LabVIEW的信号调制识别系统,并进行了系统的搭建与验证。验证结果表明系统运行准确,从而证明了本文提出的信号调制识别算法的正确性以及算法应用到实际工程中的有效性。
[Abstract]:In the current complex communication environment is more effective and reliable transmission of information, a variety of signal modulation technique is applied to the communication system. At the same time, the signal modulation recognition technology has gradually attracted people's attention in the field of military and civilian applications, how to effectively identify the signal modulation is also more and more attention to. Make up only based on lack of high order cumulant or signal instantaneous characteristics of single signal modulation recognition algorithm, based on the characteristics of modulation signal parameter extraction and classification research, proposed characteristic parameters extraction methods of high order cumulant and instantaneous feature based, and according to the characteristic parameters of the proposed performance classification signal modulation method based on decision tree good. In addition, the design and implementation of signal modulation recognition system based on LabVIEW, the signal transfer The algorithm of system recognition is well applied to practical engineering.
The main work of this article includes:
1. a detailed analysis of the principle of modulation signal, including analog modulation and digital modulation, and gives the corresponding modulation signal in time domain and frequency domain waveform characteristics and introduction. We focus on AM, 2ASK, 4ASK, 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 16QAM nine kinds of analog, digital signal to noise and circumstances for the case of 5dB than the time-domain waveform.
The 2. key technology of signal modulation recognition in feature extraction and classification. We propose a feature extraction method of parameters of high order cumulant and instantaneous characteristics based on using decision tree classifier, proposed modulation signal classification method based on decision tree and simulation experiment. The experimental results show that the design of signal modulation recognition algorithm is proposed in this paper is simple, can effectively identify AM, 2ASK, 4ASK, 2FSK, 4FSK, 8FSK, 2PSK, 4PSK, 16QAM nine kinds of analog, digital signal.
3. research on the key technology of system development based on LabVIEW, based on the signal modulation recognition algorithm is proposed on the design and implementation of signal modulation recognition system based on LabVIEW, and the construction and verification system. The verification results show that the system works accurately, which proves the signal modulation recognition algorithm is proposed in this paper is correct and the algorithm is applied to the effectiveness in practical projects.

【学位授予单位】：北京邮电大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.3

【参考文献】