Fuzzy-clustering-based Aegis system signal sorting method

A system signal and fuzzy clustering technology, applied in the information field, can solve problems such as slow operation speed, signal distribution parameter performance degradation, unsatisfactory sorting effect, etc., and achieve the effect of improving effectiveness

Inactive Publication Date: 2012-10-24
北京市遥感信息研究所
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Problems solved by technology

[0005] In order to overcome the existing "statistical histogram" method with poor adaptability to parameter changes, slow operation speed, poor sorting effect on incomplete data and polluted pulse parameters, and inability to handle a large amount of complex data; and using "self-organizing neural network" "Comprehensive sorting method is sensitive to the change of signal parameters, the performance drops sha

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[0017] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0018] The method provided by the invention can be installed and executed in the form of software on the personal computer, industrial computer and server, and can also be embodied in the form of hardware by making the method into an embedded chip.

[0019] figure 1 It is a flow chart of the Aegis system signal sorting method based on fuzzy clustering proposed by the present invention, as figure 1 As shown, the Aegis system signal sorting method based on fuzzy clustering proposed by the present invention comprises the following steps:

[0020] Step S1, using translational standard deviation transformation and translational range transformation to standardize the pulse description word of the Aegis system signal;

[0021...

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Abstract

The invention discloses a fuzzy-clustering-based Aegis system signal sorting method, which can be applied to the signal identification of phased array radar AN/SPY-1 of an Aegis system. The method comprises the following steps of: carrying out standardization treatment on pulse description words of Aegis system signals by using translation standard deviation transformation and translation range transformation; calculating a fuzzy similar matrix among the pulse description words; converting the fuzzy similar matrix into a fuzzy equivalent matrix by using a transitive closure method; and converting the fuzzy equivalent matrix into a lambda-cut matrix equivalent to the fuzzy equivalent matrix, and obtaining a sorted result of the pulse description words of the Aegis system signals through sorting Rlambda of the lambda-cut matrix. According to the fuzzy-clustering-based Aegis system signal sorting method, the limitations of the traditional radar signal sorting method are broken through by adopting a fuzzy mathematical method, and full pulses and intrapulse characteristics are subjected to fusion processing, so that the difficult problem in processing of minimal signals is effectively solved, and the validity of extraction of radar signal characteristics is improved.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a fuzzy clustering-based Aegis system signal sorting method, which is used for the radars of aircraft carrier formation Arleigh Burke missile destroyers and Ticonderoga missile frigates acquired by aerospace and aviation sensor platforms Signal sorting. Background technique [0002] In the modern electronic warfare environment, the signal environment faced by the electronic reconnaissance system is a dense pulse stream formed by the random overlapping of many radar radiation sequence signals. Sorting these dense radar signals is an important and special task in the field of radar countermeasures. made of. [0003] With the continuous emergence of new systems and new technology radars, the signals received by radar reconnaissance receivers are more dense and complex, and conventional radar signals and unconventional radar signals are often mixed together. Unconventional rad...

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Application Information

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IPC IPC(8): G01S7/285
CPCG01S7/021
Inventor 张秀玲刘明智林勐常民张鹏芳
Owner 北京市遥感信息研究所
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