Sequential difference histogram sorting method improved by using clustering idea

Abstract

The invention provides a sequential difference histogram sorting method improved by using a clustering idea. The method comprises the steps of taking intercepted radar pulse flow as input pulse flow sorted for the first time; calculating a c-level difference of the input pulse flow to obtain a c-level difference sequence; carrying out clustering processing on the c-level difference sequence, and obtaining a c-level sequential difference histogram through statistics; setting sequences formed by difference intervals of which the accumulative amount of the c-level sequential difference histogram is greater than a detection threshold TH to be PRIq sequences; sorting the PRIq sequences from small to large according to PRIq values, and judging the authenticity of PRI values according to a threshold NTH; and for real PRI values, continuously updating the PRI values by adopting an arithmetic average method or a curve fitting method, and sorting out pulse sequences corresponding to the real PRI values from the pulse flow. Through clustering processing on the difference sequences, generation of false PRIq values is inhibited, the influence of disperse accumulation caused by PRI shaking on sorting is effectively inhibited, and the sequential difference histogram sorting method has relatively high sorting accuracy and sorting efficiency.

Description

technical field [0001] The invention belongs to the field of electronic support system (ESM) signal sorting, in particular to an improved sequence difference histogram sorting method using the idea of ​​clustering. Background technique [0002] Signal sorting is an important part of Electronic Support Measure (ESM). In electronic warfare, a large number of radar emitters causes an ESM receiver to intercept a nearly random pulse stream that includes pulse trains from multiple emitters. Therefore, the signal sorting process is the process of sorting the intercepted radar pulse stream into pulse sequences corresponding to different radar radiation sources by using one or more signal parameters. [0003] In the signal sorting process, the pulse repetition interval (Pulse Repetition Interval, PRI) is a key characteristic parameter of the radar radiation source, and its transformation range and transformation law are closely related to the radar's working performance and working ...

AI Technical Summary

Problems solved by technology

[0005] (1) In the absence of prior knowledge, it is impossible to effectively judge the PRI range for intercepting radar pulse streams;

[0006] (2) In the selection of the number of PRI boxes, it is difficult to choose a suitable number to balance the calculation speed and sorting accuracy;

[0007] (3) If the interval value falls into multiple overlapping PRI boxes, multiple overlapping PRI boxes will be accumulated, which will lead to a large number of false PRI values, affecting the sorting accuracy and sorting speed

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