Radar high-resolution range profile target identification method based on two-dimensional convolutional network

A high-resolution range image, two-dimensional convolution technology, applied in the field of radar, can solve the problem of low target recognition accuracy, and achieve the effect of improved recognition rate, strong robustness, and strong robustness.

A high-resolution range image, two-dimensional convolution technology, applied in the field of radar, can solve the problem of low target recognition accuracy, and achieve the effect of improved recognition rate, strong robustness, and strong robustness.

CN107728142AActive Publication Date: 2018-02-23XIDIAN UNIV

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Radar high-resolution range profile target identification method based on two-dimensional convolutional network
  • Radar high-resolution range profile target identification method based on two-dimensional convolutional network
  • Radar high-resolution range profile target identification method based on two-dimensional convolutional network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0022] refer to figure 1 , is a flow chart of a radar high-resolution range-like target recognition method based on a two-dimensional convolutional network of the present invention; wherein the radar high-resolution range-like target recognition method based on a two-dimensional convolutional network includes the following steps:

[0023] Step 1, determine Q different radars, and there are targets within the detection range of the Q different radars, and then obtain Q-type high-resolution range imaging data from the high-resolution radar echoes of the Q different radars, and record them as the first Class high-resolution range imaging data, type 2 high-resolution range imaging data, ..., Q-type high-resolution range imaging data, each radar corresponds to a class of high-resolution imaging data, and the Q-type high-resolution imaging data are different; Then, class Q high-resolution range imaging data is divided into training sample set and test sample set, the training sample...

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

PUM

No PUM Login to View More

Abstract

The invention discloses a radar high-resolution range profile target identification method based on a two-dimensional convolutional network. The radar high-resolution range profile target identification method comprises the steps of: determining Q different radars, wherein a target exists within detection ranges of the Q different radars, then acquiring Q-type high-resolution range imaging data from high-resolution radar echoes of the Q different radars, dividing the Q-type high-resolution range imaging data into a training sample set and a test sample set, and recording the Q-type high-resolution range imaging data as original data x; calculating to obtain data x'' '' after short-time Fourier transform according to the original data x; setting a two-dimensional convolutional neural network model which comprises five layers, and constructing the two-dimensional convolutional neural network model by using the training sample set and the data x'' '' after short-time Fourier transform, soas to obtain a trained convolutional neural network; and performing target identification on the trained convolutional neural network by using the test sample set, so as to obtain a radar high-resolution range profile target identification result based on the two-dimensional convolutional network.

Description

technical field [0001] The invention belongs to the technical field of radar, in particular to a radar high-resolution range image target recognition method based on a two-dimensional convolutional network, which is suitable for target recognition on high-resolution range image data, and for environment detection and track tracking. Background technique [0002] The range resolution of the radar is proportional to the received pulse width after the matched filter, and the range unit length of the radar transmitted signal satisfies: ΔR is the distance unit length of the radar transmission signal, c is the speed of light, τ is the matching received pulse width, and B is the bandwidth of the radar transmission signal; a large radar transmission signal bandwidth provides a high range resolution (HRR). In fact, the distance resolution of the radar is relative to the observation target. When the size of the observed target along the radar line of sight is L, if L<<ΔR, the c...

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

Application Information

Patent Timeline
23 Feb 2018
Publication
CN107728142A
IPC
G01S13/89; G01S13/04; G01S7/41
CPC
G01S7/417; G01S13/04; G01S13/89
Inventors
陈渤; 沈梦启