Radar signal statistical feature extraction method and device based on electromagnetic data clustering

Abstract

The invention relates to a radar signal statistical feature extraction method and device based on electromagnetic data clustering. Comprising the following steps: calculating inter-pulse time difference of adjacent pulses according to arrival time to obtain a time difference-carrier frequency pair set of the pulses; determining parameter pairs with relatively high aggregation in the time difference-carrier frequency pair set through clustering analysis to obtain a carrier frequency-repetition frequency pair typical value set; verifying each parameter pair, determining a false repetition frequency, and removing the false repetition frequency from the carrier frequency-repetition frequency pair typical value set to obtain a real carrier frequency-repetition frequency pair set; and extracting a corresponding pulse width from the radar pulse train based on the real carrier frequency-repetition frequency pair set to obtain a three-parameter feature set of the radar pulse train. According to the method, the influence of various measurement errors and data noise can be greatly weakened, and the feature parameter extraction precision can be improved; combined extraction of multiple characteristic parameters such as carrier frequency, repetition frequency, pulse width and the like of the radar signal is realized, and the essential law of the radar signal can be reflected more accurately.

Description

technical field [0001] The invention relates to the technical field of electromagnetic information processing, in particular to a method and device for extracting statistical features of radar signals based on electromagnetic data clustering. Background technique [0002] Radar radiation sources are widely used to solve problems such as target and environmental detection, and have a large number of applications in military and civilian fields. Radar is usually mounted on various land-based, air and sea weapon platforms to detect the surrounding target situation, meteorological and hydrological environment and other information, so as to realize early threat warning and meteorological forecast. Radar works by radiating electromagnetic waves into space. While realizing the functions of target detection and environmental perception, its electromagnetic radiation is also exposed to the electronic reconnaissance system, which has become an important clue for non-cooperating parti...

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Problems solved by technology

However, the low intercept probability of electronic reconnaissance signals and non-ideal factors such as various measurement errors and data noise significantly increase the difficulty of extracting statistical parameters of radar signals

[0004] Since the problem of radar signal interception and analysis only exists in specific application fields, there are few academic papers published on its feature analysis and extraction. Moreover, due to the difficulty in obtaining radar reconnaissance data, relevant academic research can only be done based on simulation data and cannot It truly and comprehensively reflects the situation of actual electronic reconnaissance data, and the idea of ​​extracting statistical features of radar signals based on this will inevitably be biased

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