Non-cooperative signal detection method based on frequency spectrum

Abstract

The invention provides a non-cooperative signal detection method based on a frequency spectrum, which aims at overcoming the defects of the existing non-cooperative signal detection technology, performs frequency spectrum detection on a multi-signal coexisting non-cooperative received signal by utilizing global and local adaptive threshold estimation of an intercepted signal frequency spectrum, and estimates to obtain an effective signal contained in the non-cooperative received signal. According to the method, a dual-threshold signal detection algorithm based on global and local frequency domain characteristics is proposed for the first time, the accuracy of signal detection is effectively improved, the problems of false alarm and missing detection of traditional non-cooperative signal detection are solved, narrow-band signals in non-cooperative signals can be effectively detected, and the problem that the narrow-band signals are mistakenly eliminated during filtering processing is avoided; and the method can effectively cope with a real electromagnetic environment in which large and small signals coexist and ground noise energy has large fluctuation, effectively improves the problem of signal detection misjudgment of a traditional single-threshold and double-threshold detection algorithm in a scene in which the large and small signals coexist, and is high in environmental applicability and low in complexity.

Description

technical field [0001] The invention relates to the field of wireless communication, and relates to a signal detection method in the field of communication reconnaissance, which can be used for blind detection of reconnaissance signals in radio monitoring, communication interference identification, information collection, etc., to determine whether there is an effective signal, and to guide equipment to specify signals deal with. Background technique [0002] Signal spectrum detection is widely used in non-cooperative communication, cognitive radio, radio monitoring and other fields to quickly analyze and identify parameters such as the working frequency band and corresponding bandwidth of the signal received by the current receiver. Current spectrum detection methods for signals include energy detection and cyclostationary feature detection. Among them, the cyclostationary feature detection technology has high computational complexity and large time delay, so it is rarely ...

AI Technical Summary

Problems solved by technology

However, the strategy of discarding and re-acquisition is usually adopted for signals in the fuzzy area between the double thresholds. Once the signal falls between the thresholds for many times, the processing delay will increase sharply.

Moreover, the existing spectrum detection technology is mostly oriented to narrowband single signal detection, does not have the capability of multi-signal identification and detection, and cannot effectively deal with the signal detection task of multi-signal coexistence in the field of radio monitoring

Images