Method for steadily classifying ground moving target based on super-resolution Doppler spectrum

A ground moving target and Doppler spectrum technology, which is applied to the classification of moving vehicle targets and the field of target classification, can solve problems such as difficult to accurately express micro-Doppler information, poor classification performance of ground moving targets, and insufficient resolution, etc., to achieve Good ground moving target classification performance, improved classification performance, and the effect of improved classification performance
CN102721952AInactive Publication Date: 2012-10-10XIDIAN UNIV
7 Cites 23 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
XIDIAN UNIV
Publication Date
2012-10-10
Estimated Expiration
Not applicable · inactive patent

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention discloses a method for steadily classifying a ground moving target based on super-resolution Doppler spectrum, and mainly solves the problem that the classification performance is low because the signal structure is influenced during clutter reduction, the resolution ratio is low under short residence time and the noise cannot be suppressed in the conventional similar method. The method comprises the following steps of: calculating a short-time echo signal Doppler spectrum, and estimating the noise energy in the signal by utilizing the short-time echo signal Doppler spectrum; estimating a clutter autocorrelation matrix by utilizing a target approach distance unit; establishing a Fourier-based dictionary matrix, and solving the l1 norm optimization problem to obtain a super-resolution Doppler spectrum of a target; extracting characteristics of the super-resolution Doppler spectrum of the target; and classifying the extracted characteristics by using a classifier. By the method, the resolution ratio of the Doppler spectrum of the target is improved, the signal structure can be kept during adaptive clutter reduction, and the noise in the signal is suppressed; and moreover, the classification performance is improved, the noise robustness is obtained, and the method can be used for classifying moving vehicle targets with maneuvering parts.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention belongs to the technical field of radar and relates to a target classification method, which can be used to classify moving vehicle targets with motor parts. Background technique

[0002] In the field of radar target classification and recognition, due to the different division of labor between wheeled and tracked vehicles in the battlefield environment, it is of great significance to classify wheeled and tracked vehicles. Usually, the radar echo of a moving vehicle target contains a lot of ground clutter, and due to the Doppler effect, the target will appear at a position deviated from zero frequency in the Doppler domain. In this way, the separation of moving targets and stationary ground clutter can be achieved. At the same time, the Doppler spectrum of the target also provides the motion information of the target itself, which can be used to classify and identify the target.

[0003] Since the micro-Doppler concept was introduced in...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More