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Radar clutter intelligent classification method based on image frequency characteristics

A classification method and characteristic technology, which is applied in the field of clutter signal classification and processing by intelligent classifiers, can solve the problems of high false alarm rate and low detection probability, achieve enhanced adaptability, improve detection efficiency, and omit the modeling process Effect

Active Publication Date: 2020-09-22
HANGZHOU DIANZI UNIV
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Problems solved by technology

These mathematical models that describe the statistical characteristics of clutter, such as Rayleigh distribution, lognormal distribution, and compound K distribution, are often unable to adapt to the complex and changing actual environment, resulting in high false alarm rates caused by the actual situation deviating from the theoretical model. and the result that the probability of detection becomes lower

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  • Radar clutter intelligent classification method based on image frequency characteristics

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Embodiment Construction

[0014] The specific implementation manner of the present invention will be described below in conjunction with the accompanying drawings. The following description is only for demonstration and explanation, and does not limit the present invention in any form.

[0015] Graph mapping for clutter data:

[0016] The original clutter data is quantized with equal frequency to discretize the clutter amplitude to generate quantized vertices, and according to the transition relationship between quantized vertices, the connection relationship between vertices is determined to form a corresponding graph structure.

[0017] Step 1: Perform short-time frame-division processing on the amplitude signal

[0018] Step 2: Build a collection of graph vertices for each frame of data

[0019] On the basis of the Fourier transform of the signal, normalization processing is performed, and then the quantization level is L (positive integer), and the magnitude division of the uniform interval is Δl....

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Abstract

The invention discloses a radar clutter intelligent classification method based on image frequency characteristics. A method based on a mathematical model is insufficient in robustness; data feature extraction is mostly based on experience; according to the invention, a one-dimensional clutter signal sequence is converted into graph structure data, correlation characteristics among clutter signalsare expressed by using an undirected graph; a designed feature extractor is used for mainly mining a spectral radius maximum feature value and a second small feature value representing connectivity in a graph structure to serve as mining of data features. The image feature extractor is combined with the SVM to achieve the clutter type distinguishing target, and by means of the method, informationextraction of deep associated features of original data can be achieved, the detection efficiency is improved, the modeling process of the data distribution probability is omitted, the data utilization efficiency is improved, and the adaptive capacity of detection is enhanced.

Description

technical field [0001] The invention belongs to the technical field of one-dimensional radar echo signal processing, specifically a method for constructing a feature extractor as a main feature by using the spectral diameter and the second largest eigenvalue in the frequency domain of a signal graph, and combining with an intelligent classifier to classify and process clutter signals. Background technique [0002] Radar works by transmitting and receiving electromagnetic waves, and can efficiently distinguish stationary and radially moving targets through echo Doppler frequency changes. The application background can be a target on land, a target at sea, or a target in the air. Through the design of software algorithms for different radar systems, target detection, recognition and tracking in different hardware environments and natural environments are realized; it is important in navigation, environmental monitoring, weather forecasting in civilian use, and surveillance, ea...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G01S7/41G01S13/00
CPCG01S7/414G01S13/006G06F2218/12
Inventor 张乐孙淑强郭云飞薛安克
Owner HANGZHOU DIANZI UNIV
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