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文章针对目前对单个信号的检测方法较为完善,而难以检测出信号数目多、背景噪声复杂的情况,首先分析了频谱分析法的研究现状,指出现有算法的不足。据此提出一种基于统计直方图的频谱分析算法,该算法对接收的信号进行深入分析、处理,完成对信号的均值滤波、直方图的生成和噪声、信号线的划定。在此基础上将信号划分为信号区域、噪声区域和待定区域,实现自适应阈值调整。最后结合周边确定区域的信息来判别待定区域,从而实现复杂噪声、多信号情况下信号的检测。
In this paper, the current single signal detection method is more perfect, and it is difficult to detect a large number of signals, the background noise is complex, the first analysis of the spectrum analysis of the status quo, pointing out the shortcomings of existing algorithms. Based on this, a spectrum analysis algorithm based on statistical histogram is proposed, which performs in-depth analysis and processing on the received signal, completes the signal filtering, histogram generation, noise and signal line demarcation. On this basis, the signal is divided into the signal area, the noise area and the to-be-determined area to realize the adaptive threshold adjustment. Finally, the information of the surrounding areas is used to determine the area to be determined, so that the detection of complex noises and signals under multi-signal conditions can be achieved.