Broadband spectrum signal real-time detection and statistical method and system based on environmental noise

Abstract

The invention provides a broadband spectrum signal real-time detection and statistical method and system based on environmental noise. The method comprises the following steps: S10, acquiring environmental noise spectrum data of an antenna pointing to different sky area positions; S20, acquiring spectrum data of a spectrum analyzer when the antenna works normally; S30, setting a signal detection threshold parameter, and starting signal detection according to the set signal detection threshold parameter, that is, comparing the spectrum data of the spectrum analyzer with the spectrum data of the environmental noise point by point to obtain a broadband signal detection result; and S40, repeating the step S30, and carrying out judgment analysis on the newly obtained broadband signal detection result and the existing broadband signal detection result to form a final broadband signal detection result. According to the method, the influence of the noise of the surrounding environment of the antenna on signal detection and identification is considered, small changes of the signal can be captured, the same signal is prevented from being detected and identified as two signals with different frequency points and bandwidths, and the problems of false detection and false alarm existing in similar methods are solved.

Description

technical field [0001] The invention relates to the technical field of radio signal detection and recognition, in particular to a method and system for real-time detection and statistics of broadband spectrum signals based on environmental noise. Background technique [0002] With the development of radio communication technology, various new communication systems have been proposed and applied continuously, making space electronic signals present complex and diverse characteristics. From radio stations to 3G\4G\5G mobile communications to satellite communications, the space electromagnetic environment we face is becoming more and more complex. How to effectively use and manage these electronic signals has become a new research topic. In terms of civilian use, systematically detect, collect and analyze received radio signals, extract signal parameters, identify signal source characteristics, and obtain spectrum occupancy, which can provide management basis for spectrum mana...

AI Technical Summary

Problems solved by technology

[0003] Some existing broadband spectrum signal detection algorithms are generally based on the idea of ​​template matching, and need to calculate the correlation coefficient point by point sliding, which has a large amount of calculation and cannot be applied to applications with high real-time requirements.

There are also some broadband spectrum signal detection algorithms that usually use a single threshold for judgment. Due to the fluctuation of the spectrum, the detection threshold is affected by noise, which is prone to false detection and cannot meet the requirements of fast and accurate detection performance in modern communication systems.

Most of the current detection methods do not consider the impact of environmental noise on the recognition results. Therefore, the real-time detection and statistical method of broadband spectrum signals based on environmental noise is a key technology that is urgently needed in the field of broadband signal spectrum monitoring and management.

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