Adaptive pulse description word clustering method based on minimal value point of histogram

An adaptive clustering and histogram technology, applied in character and pattern recognition, instruments, computer parts, etc., can solve problems such as difficulty in determining grid density and large amount of calculation.
CN107967490AInactive Publication Date: 2018-04-27THE 724TH RES INST OF CHINA SHIPBUILDING IND
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Patent Information

Authority / Receiving Office
CN Β· China
Current Assignee / Owner
THE 724TH RES INST OF CHINA SHIPBUILDING IND
Publication Date
2018-04-27
Estimated Expiration
Not applicable Β· inactive patent

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Abstract

The invention relates to an adaptive clustering method for pulse description words at radar signal reconnaissance. The method comprises: two-dimensional frequency and pulse width clustering is carriedout on pulse description words; according to the frequency clustering and pulse width clustering methods, histogram statistics is carried out and a minimal value point in the histogram is searched instatistic results and is used as a boundary point of pulse description word groups, wherein the minimal value point of the histogram is defined as follows: if the height of a certain histogram rectangle is smaller than or equal to the height of a left histogram rectangle and is smaller than the height of a right histogram rectangle, the right boundary of the histogram rectangle is the minimal value point of the histogram.
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Description

technical field

[0001] The invention relates to clustering of complex radiation source signals under high pulse current density. Background technique

[0002] Pulse Describe Word (PDW) clustering is an important step before radar signal sorting, and the quality of clustering results directly affects the reconnaissance capability of passive radar. The main purpose of pulse descriptor clustering is to group pulse descriptors whose parameters such as frequency, pulse width, and azimuth are close to or meet certain rules, and to separate pulse descriptors generated by different radiation sources as much as possible. Pulse descriptor clustering can reduce the time-domain coupling of pulse descriptors in a complex signal environment with high pulse current density, reduce the difficulty and calculation amount of subsequent signal sorting, and improve the sorting accuracy.

[0003] Currently, the pulse descriptor clustering methods commonly used in engineering are: clustering meth...

Claims

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