Multi-dimensional parameter pre-sorting method for radar pulse signals

Abstract

The invention discloses a multi-dimensional parameter pre-sorting method for radar pulse signals, and aims at providing a method which is fast and rapid, has small computing amount and can realize efficient pulse pre-sorting. The multi-dimensional parameter pre-sorting method is implemented by the technical schemes of: dividing a pulse into multiple groups of pulse trains for dense overlapping pulses output by a receiver, and counting a pulse number corresponding to each CF, PW and DOA to draw a histogram; utilizing the multi-dimensional histogram to count parameter distribution characteristics, and automatically grouping pulse data, so as to realize pre-sorting of radar pulses; and utilizing orthogonality of the radar pulses in DOA, CF, and PW pre-sorting spaces to convert the multi-dimensional histogram statistics into a plurality of one-dimensional histogram when making multi-dimensional histogram statistic, and carrying out parameter estimation successively; and looking for discontinuous regions in parameter distribution according to the parameter statistical result, and regarding GAP regions as break points of the corresponding parameters, thereby realizing automatic classification of different parameters.

Description

technical field [0001] The invention relates to a pre-sorting technology for realizing pulse dilution in the application of radar pulse sequence sorting. It uses the orthogonality of pulse carrier frequency, pulse width, and direction of arrival, and uses multi-dimensional histograms to realize rapid grouping of pulse sequences in complex scenarios, thereby reducing the pulse density of the main sorting program and improving the success rate of sorting. Background technique [0002] Radar radiation source identification is the basis of target determination in electronic countermeasures and radar warning detection, and is a key technology in electronic intelligence reconnaissance systems and electronic support systems, and plays an important role in modern high-tech warfare and future information warfare. Radar radiation source identification includes pulse parameter measurement, radar pulse sorting, and radiation source feature database matching. Among them, the pulse param...

AI Technical Summary

Problems solved by technology

This type of algorithm can adapt to higher density radar pulse streams, but due to the poor separation ability between radar signal characteristic parameters, in the case of measurement errors, it is impossible to completely and accurately divide all radar signals into corresponding classes. In the case of individual pulse signals being wrongly divided

In addition, the clustering and sorting method is an offline batch processing method. The offline batch processing algorithm must collect a large amount of required data in advance, and then perform batch post-processing. It lacks real-time sorting capabilities, and the algorithm has high complexity and a large amount of calculation. Lack of high-speed real-time data processing capabilities

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