Human-vehicle classification and identification method for low-resolution radar ground targets

A radar ground and low-resolution technology, which is applied in the field of radar detection, can solve the problems of low recognition probability recognition algorithm, low-resolution radar does not have target classification and recognition performance, etc., so as to improve the recognition probability, improve the target recognition probability, and improve the single point The effect of classification recognition probabilities

Active Publication Date: 2020-03-31
NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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AI Technical Summary

Problems solved by technology

[0004] At present, low-resolution radar generally does not have the performance of target classification and recognition, or has a very simple recognition algorithm with a low recognition probability

Method used

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  • Human-vehicle classification and identification method for low-resolution radar ground targets

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Embodiment Construction

[0021] under figure 1 The present invention will be further described in detail with specific embodiments.

[0022] A method for classifying and identifying people and vehicles for low-resolution radar ground targets, characterized in that it comprises the following steps:

[0023] Step 1. After performing constant false alarm detection and clustering processing on the echo data obtained by the low-resolution radar, the obtained target is screened, and the multi-dimensional feature vector of the target track is extracted using the range-Doppler data of the radar. And expand to the list of target points;

[0024] In the step 1, the purpose of target screening is to select more concerned targets, and the screening can be based on the speed, signal-to-noise ratio, distance, etc. of the target.

[0025] In the step 1, the multidimensional features include the distance of the target track, the radial velocity, the maximum amplitude value, the Doppler spectrum entropy value, the a...

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Abstract

The invention discloses a human-vehicle classification and identification method for low-resolution radar ground targets, and relates to target classification and identification of ground radars in the field of radio measurement. The method mainly comprises the processing steps of target multi-dimensional feature extraction, feature smoothing and selection, speed coarse classification, probabilityadjustment, SVM classifier, D-S evidence pushing, threshold judgment and the like. According to the method, the moving targets forming the stable track are classified, and ground moving target classification with high recognition probability and low cost is realized. The method has the characteristics of high target recognition probability, target rejection outside the library, high calculation speed and simple engineering implementation, solves the problem that a low-resolution radar system does not have the target classification and recognition capability or is poor in recognition performance, and is particularly suitable for the ground pedestrian and vehicle target classification and recognition process of ground surveillance radar and battlefield reconnaissance radar.

Description

technical field [0001] The invention relates to a human-vehicle classification and recognition method for low-resolution radar ground targets in the field of radar detection. Background technique [0002] Low-resolution ground surveillance radar and ground search radar are used to search and continuously monitor active targets in a large area. In the modern battlefield, radar target recognition is an essential function of low-resolution radar, which plays an important role in detection, identification, tracking and interception on the battlefield. Low-resolution radar target classification and recognition is an important research direction. [0003] Due to the narrow bandwidth and low resolution of ground search and surveillance radar, it is difficult to obtain echo data that can reflect the detailed information of the target. It is very important to use low-resolution radar resources reasonably to carry out target classification and recognition algorithms with high recogni...

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Application Information

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IPC IPC(8): G01S7/41G01S13/88
CPCG01S7/411G01S13/885
Inventor 冯硕张驰张玲夏烨巍马瑞平温博
Owner NO 54 INST OF CHINA ELECTRONICS SCI & TECH GRP
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