Distributed clustering method based on spatial information

Abstract

The invention relates to the technical field of electronic reconnaissance, and discloses a distributed clustering method based on spatial information. The distributed clustering method comprises the following steps: constructing a distributed system with N nodes; taking any node as a central node, and receiving pulse information transmitted by other nodes in real time through a link; sorting the pulse parameters of all the nodes at the central node according to arrival time; performing combined clustering on the sorted pulses according to three parameters of pulse frequency, pulse width and pulse arrival time to form combined pulse description; carrying out time difference registration marking, wherein an obtained time difference registration marking sequence corresponds to the combined pulse description; and carrying out joint clustering on the marked joint pulses by utilizing marking information and combining pulse parameters. According to the distributed clustering method, the defects that traditional pulse clustering is poor in adaptability to complex and changeable situations such as pulse repetition interval large-series difference, jitter, pulse-to-pulse coding and modulation, and intra-pulse modulation information needs to be effectively extracted in real time are overcome, and the adaptability of the pulse clustering method is improved.

Description

technical field [0001] The invention relates to the technical field of electronic reconnaissance, in particular to a distributed clustering method based on spatial information. Background technique [0002] At present, the parameters used for radiation source pulse clustering mainly include five parameters: pulse arrival time, carrier frequency, pulse width, pulse amplitude, and arrival angle. Among them, the pulse repetition interval information of radiation sources can be obtained through the pulse arrival time. The traditional radiation source pulse clustering method is mainly realized by using the pulse repetition interval characteristics. Typical methods include the cumulative difference histogram method and the sequence difference histogram method. It has a good effect in a simple electromagnetic environment with simple variation rules such as numerical fluctuations and a small number of radiation sources, but it has poor adaptability to situations where pulse repetiti...

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Problems solved by technology

[0005] The technical problem to be solved by the present invention is: in view of the above-mentioned existing problems, the present invention utilizes multiple distributed reconnaissance nodes to intercept the waveform of the radiation source, and a single node only needs to perform conventional parameter measurement, combined with the pulse information of multiple nodes in electromagnetic space to achieve the goal For the separation of signals, a distributed clustering method based on spatial information is proposed. This method is suitable for pulses with complex changes in the pulse repetition interval characteristics of radiation sources, and overcomes the traditional pulse clustering. It is poorly adapted to complex and changeable situations such as inter-coding and modulation, and requires real-time and effective extraction of intra-pulse modulation information. It is a pulse that conforms to the development trend of distributed processing technology and has strong adaptability to changes in time-frequency domain parameters of radiation source objects. clustering method

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