通信辐射源的载频与码速率估计

发布时间：2018-06-30 07:25

本文选题：载波估计 + 码速率估计　；参考：《西安电子科技大学》2014年硕士论文

【摘要】：在通信技术快速发展的今天,信息战已经成为现代战争必不可少的组成部分。为了能够适应未来的数字化战场,通信对抗技术的发展至关重要,通信对抗往往是建立在准确的通信侦查基础上,即信号的截获和分析。只有在准确了解对方信号各参数的基础上才能有针对性的实施有效的对抗,因此,信号参数的识别就变得非常重要。其中载波和码速率的识别是必不可少的,也是很多后续识别的基础。本文在总结了前人的研究成果的基础上,对各种常见信号(MASK、MPSK、MFSK、 QAM)的载波和码速率估计进行了研究。应用时频分析,小波变换等信号分析方法,对不同调制类型的信号的载波和码速率进行了识别。载波估计方面：结合现有的方法,使用Welch法对信号的功率谱密度进行估计进而提取载波频率,并结合峰值提取法和频带中心法使得识别精度得到提高。码速率估计方面：在含噪声,成型滤波条件下针对各种调制类型的信号的特点调整和改进原有算法,用边沿提取-频谱分析法估计MASK信号,用最大斜率法估计MFSK信号,用小波变换法提取PSK信号的码速率。同时提出了不依赖调制方式的新算法,并分别给出了仿真结果。
[Abstract]:With the rapid development of communication technology, information warfare has become an indispensable part of modern warfare. In order to adapt to the future digital battlefield, the development of communication countermeasure technology is very important. Communication countermeasure is usually based on accurate communication detection, that is, the interception and analysis of signals. Only on the basis of accurate understanding of each other's signal parameters can we implement effective countermeasures. Therefore, the identification of signal parameters becomes very important. Carrier and code rate recognition is essential and the basis of many subsequent recognition. Based on the previous research results, the carrier and code rate estimation of various common signals (MASK / MPSKK MFSKK, QAM) is studied in this paper. Using time-frequency analysis, wavelet transform and other signal analysis methods, the carrier and code rates of signals with different modulation types are identified. In terms of carrier estimation: Welch method is used to estimate the power spectrum density of the signal and then the carrier frequency is extracted. The recognition accuracy is improved by combining the peak extraction method and the frequency band center method. In the aspect of code rate estimation, the original algorithm is adjusted and improved according to the characteristics of various modulation types under the condition of noise and shaping filtering. The pass signal is estimated by edge extraction and spectrum analysis, and MFSK signal is estimated by maximum slope method. The code rate of PSK signal is extracted by wavelet transform. At the same time, a new modulation-independent algorithm is proposed, and the simulation results are given.
【学位授予单位】：西安电子科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN911.23

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