跳频信号参数盲估计算法研究
发布时间：2018-11-15 22:54
【摘要】： 跳频通信技术由于其良好的抗干扰、低截获率等特性,在军事通信领域得到了广泛应用。如今,国内外许多军用电台采用了跳频技术,使得军用短波和超短波跳频电台在通信中发挥了巨大的作用。跳频电台的出现对通信对抗提出了严峻挑战。在通信对抗领域中,开展对跳频通信对抗的研究,寻求截获、识别跳频信号的方法,是当前急需解决的问题。 对通信信号参数的估计是无线电通信技术侦察的一个部分,目的是获取敌方通信设施的技术参数,如通信体制、工作频率、调制方式等,为干扰设备参数的设定提供依据。参数估计算法按接收设备天线的类型可分为单天线接收和阵列天线接收。本文针对这两个方面开展了以下研究: 对于单天线接收的跳频信号参数估计算法,本文对公开文献中的跳频信号参数估计算法进行了分析与总结,对不需要信号先验知识的时频分析算法进行了深入研究。首先实现了基于时频分析的高速跳频信号和低速跳频信号的参数估计算法,并分别针对算法存在对信号跳速有依赖和低信噪比下的估计性能低等问题,提出了基于跳速预估的算法框架和基于时频矩阵去噪的参数估计方法,最后结合上述两种思路提出了一种改进算法,仿真结果表明此算法在信噪比大于等于-6dB时的参数估计性能得到了明显改善。 针对阵列天线接收的跳频信号参数估计,本文进行了算法分析,仿真和讨论,完成了混合信号的分离。针对定频信号,进行了载频估计和调制方式识别;针对跳频信号,完成了两个跳频信号的分离及参数估计。实验结果表明,当接收阵列为均匀圆阵时,算法在信噪比大于等于-5dB时能够对两个跳频信号(跳速相同或不同)正确分离;当接收阵列为平面阵时,算法在信噪比大于等于-3dB时能够对两个跳频信号(跳速相同或不同)正确分离。最后对分离后的跳频信号进行参数估计,通过误差分析,得出估计性能与信噪比及信号跳速之间的关系,该算法更适合于低速跳频信号。 最后,本文总结了所做的工作并提出了通信对抗领域中还需进一步研究的问题和发展的方向。
[Abstract]:Frequency hopping communication technology has been widely used in military communication field because of its good anti-jamming and low interception rate. Nowadays, many military radio stations at home and abroad adopt frequency hopping technology, which makes military short-wave and ultrashort frequency-hopping stations play a great role in communication. The appearance of frequency hopping station poses a severe challenge to communication countermeasure. In the field of communication countermeasures, it is an urgent problem to study frequency hopping communication countermeasures and find ways to intercept and identify frequency-hopping signals. The estimation of communication signal parameters is a part of radio communication technology reconnaissance. The purpose is to obtain the technical parameters of enemy communication facilities, such as communication system, working frequency, modulation mode and so on, which provides the basis for setting the parameters of interference equipment. The parameter estimation algorithm can be divided into single antenna receiving and array antenna receiving according to the type of receiving equipment antenna. In this paper, the following researches are carried out: for the frequency hopping signal parameter estimation algorithm received by a single antenna, this paper analyzes and summarizes the frequency hopping signal parameter estimation algorithm in the open literature. The time-frequency analysis algorithm which does not require prior knowledge of signal is studied in this paper. First, the parameter estimation algorithms of high speed frequency hopping signal and low speed frequency hopping signal based on time frequency analysis are realized. An algorithm framework based on speed hopping prediction and a parameter estimation method based on time-frequency matrix denoising are proposed. Simulation results show that the performance of the proposed algorithm is improved significantly when the SNR is greater than-6dB. For the parameter estimation of frequency hopping signals received by array antennas, the algorithm analysis, simulation and discussion are carried out, and the mixed signals are separated. The carrier frequency estimation and modulation mode identification are carried out for the fixed frequency signal, and the separation and parameter estimation of the two frequency hopping signals are completed for the frequency hopping signal. The experimental results show that when the receiver array is uniform circular array, the algorithm can correctly separate two frequency-hopping signals (with the same or different hopping speed) when the SNR is greater than-5dB. When the receiving array is a planar array, the algorithm can separate two FH signals (same or different) correctly when the SNR is greater than-3dB. Finally, the parameters of the separated frequency hopping signal are estimated, and the relationship between the estimation performance and the signal-to-noise ratio and the speed of the signal hopping is obtained by error analysis. The algorithm is more suitable for the low-speed frequency hopping signal. Finally, this paper summarizes the work done and puts forward some problems and development directions in the field of communication countermeasures.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2009
【分类号】：TN914.41
本文编号：2334647
[Abstract]:Frequency hopping communication technology has been widely used in military communication field because of its good anti-jamming and low interception rate. Nowadays, many military radio stations at home and abroad adopt frequency hopping technology, which makes military short-wave and ultrashort frequency-hopping stations play a great role in communication. The appearance of frequency hopping station poses a severe challenge to communication countermeasure. In the field of communication countermeasures, it is an urgent problem to study frequency hopping communication countermeasures and find ways to intercept and identify frequency-hopping signals. The estimation of communication signal parameters is a part of radio communication technology reconnaissance. The purpose is to obtain the technical parameters of enemy communication facilities, such as communication system, working frequency, modulation mode and so on, which provides the basis for setting the parameters of interference equipment. The parameter estimation algorithm can be divided into single antenna receiving and array antenna receiving according to the type of receiving equipment antenna. In this paper, the following researches are carried out: for the frequency hopping signal parameter estimation algorithm received by a single antenna, this paper analyzes and summarizes the frequency hopping signal parameter estimation algorithm in the open literature. The time-frequency analysis algorithm which does not require prior knowledge of signal is studied in this paper. First, the parameter estimation algorithms of high speed frequency hopping signal and low speed frequency hopping signal based on time frequency analysis are realized. An algorithm framework based on speed hopping prediction and a parameter estimation method based on time-frequency matrix denoising are proposed. Simulation results show that the performance of the proposed algorithm is improved significantly when the SNR is greater than-6dB. For the parameter estimation of frequency hopping signals received by array antennas, the algorithm analysis, simulation and discussion are carried out, and the mixed signals are separated. The carrier frequency estimation and modulation mode identification are carried out for the fixed frequency signal, and the separation and parameter estimation of the two frequency hopping signals are completed for the frequency hopping signal. The experimental results show that when the receiver array is uniform circular array, the algorithm can correctly separate two frequency-hopping signals (with the same or different hopping speed) when the SNR is greater than-5dB. When the receiving array is a planar array, the algorithm can separate two FH signals (same or different) correctly when the SNR is greater than-3dB. Finally, the parameters of the separated frequency hopping signal are estimated, and the relationship between the estimation performance and the signal-to-noise ratio and the speed of the signal hopping is obtained by error analysis. The algorithm is more suitable for the low-speed frequency hopping signal. Finally, this paper summarizes the work done and puts forward some problems and development directions in the field of communication countermeasures.
【学位授予单位】：大连理工大学
【学位级别】：硕士
【学位授予年份】：2009
【分类号】：TN914.41
【引证文献】
相关硕士学位论文 前4条
1 严超会;非协作跳频信号的跳周期估计[D];西安电子科技大学;2011年
2 王丽;跳频通信信号参数盲估计算法研究[D];西南交通大学;2011年
3 唐婷婷;基于时频分析的跳频信号参数盲估计研究[D];西南交通大学;2010年
4 陈松;跳频信号参数估计与识别[D];电子科技大学;2010年
，本文编号：2334647
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