[硕士论文] [硕士论文]突发通信信号检测及同步技术研究

论文简介：
硕士论文-突发通信信号检测及同步技术研究，正文共59页。
【摘要】 该论文根据单位业务实战需求立项,重点对突发可疑信号检测及同步技术开展应用研究。核心工作是对接收到的突发信号进行侦察及参数估计。论文从以下几个方面对其进行研究：突发通信信号检测：根据突发信号的特点,确定了采用能量检测类型的算法,通过将信号建模为平稳随机过程并从信号加噪声的能量大于仅有噪声的能量出发,给出了能量检测判决方法---双滑动窗口算法。这种方法在没有任何信号的先验信息及平稳高斯白噪声背景下具有很好的检测性能。基于小波变换的通信信号分析：鉴于小波变换在现代通信信号处理中的作用,研究利用小波对突发通信信号进行参数估计和分析有着重要的工程应用价值。通过对小波变换系数同信号参数之间的关系进行分析推导,我们得出小波变换系数同频率和相位参数的解析表达式,并进行仿真验证。通信同步的关键技术研究：在捕获目标信号后,需要对信号进行解调处理,从而恢复原始码元信息。因此,通信同步恢复对于我们的信号侦察工作有着至关重要的作用。在此重点研究了通信同步的载波同步、符号率同步、时延同步和相位同步技术。通过以上算法将具有重要参考价值的突发信号进行恢复,还原码元信息,获取重要的情报信息,为上级领导的决策做准备。
【Abstract】 The research topic in the paper is selected and provided based on the organization tasks, it’s core research contents are concentrated on the signal interception and parameter estimation. The main topics include:Burst communication signal detection:according to the characteristics of the burst signal, energy detection method is used. Signal is also modeled as stationary random process,then double sliding window algorithm is given. This method needn’t any signal prior information and has very good detection performance.Secondly, wavelet transform based communication signal analysis is discussed. The relationship between the wavelet transform coefficient and the signal parameteres is derived. The simulation results shows that the algorithm has good antinoise performance and can effectively improve the reconnaissance workload.Thirdly, the key technology of communication synchronization is researched. The research emphasis is on the communication synchronization of the carrier synchronization, symbol rate synchronization, delay synchronization and phase synchronization techniques.Because Pisarenko harmonic estimation method only needs to solve a quadratic multinomial equation, thus calculations quickly, very suitable for emergency communication carrier estimate. In order to improve our synchronous precision, frequency offset is also estimated by the use of structural nonlinear function.Symbol rate estimation method are focused on wavelet transform based and signal circulation autocorrelation based estimation methods. Symbol timing synchronization is basically feedforward timing estimator involved nonlinear function:square rate, quartic, absolute value and logarithmic function analyses. Phase is estimated based on the nonlinear signal processing, by remove the modulation information. The above algorithms have the important reference value for burst signal recovery and code information recovery and decision-making for preparation.
【关键词】 突发信号； 同步技术； 信号检测；
【Key words】 Burst Communication Signals； Synchronization Technique； Signal Detection；

论文文件预览：
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• 硕士论文-突发通信信号检测及同步技术研究
• 突发通信信号检测及同步技术研究.nh  [2.69MB]