摘要
主要利用噪声调频信号的连续性,进行功率谱积累的方法检测噪声调频信号,并结合相似性原理对噪声调频信号进行自动识别。文中分析了处理噪声调频信号利用功率谱检测的理论原理和相似性原理。给出了噪声调频信号的产生方法,并通过仿真得到了噪声调频信号的功率谱和频谱,验证了方法的有效性。最后利用蒙特卡洛的方法对噪声调频信号做了识别概率分析。在证明了相似性原理可以正确检测出噪声调频信号的同时得出识别概率与累积的关系。
The thesis presents a detection method for the noise frequency modulation signal using its continuity and accumulation of power spectrum. The signals are automatically recognized by the similarity principle. The theory of PSD detection for the signal of NFM and the similarity principle are analyzed. The NFM signal generation method is given and its frequency spectrum and power spectrum obtained the validity of the method. An analysis of NFM identification probability by using the made. The fact is proved that the noise frequency modulation signal can be detected and the relation between identification probability and accumulation is obtained.
出处
《电子科技》
2009年第1期20-22,26,共4页
Electronic Science and Technology
关键词
噪声调频信号
功率谱
相似性原理
检测
NFM signal
power spectrum
similarity principle
detection through simulation proves methods of Monte Carlo is by the similarity principle
