Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

A moving target detection method using time-delayed frft modulus difference

A technology of moving target detection and detection statistics, applied in the direction of using re-radiation, measurement device, radio wave measurement system, etc., can solve problems such as limited application, and achieve the effect of good real-time performance, easy implementation and wide application range

Active Publication Date: 2014-06-11
中国人民解放军海军航空大学航空作战勤务学院
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above problems limit the practical application of these methods

Method used

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
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A moving target detection method using time-delayed frft modulus difference

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0020] The present invention will be described in further detail below in conjunction with the accompanying drawings. With reference to the accompanying drawings in the description, the specific implementation of the present invention is divided into the following steps:

[0021] (1) After the signal returned from the radar antenna is amplified and mixed, it is sent to the computing device 1 to select echo data s(n) and delay data s(n-m).

[0022] (2) The computing device 2 receives the echo data s(n) from the computing device 1, completes FRFT, and obtains its modulus |F[s(n)]|.

[0023] (3) The calculation device 3 receives the delay data s(n-m) from the calculation device 1, completes FRFT, and calculates its modulus |F[s(n-m)]|.

[0024] (4) The calculation device 4 receives the output results of the calculation devices 2 and 3, and completes the operation |F[s(n)]|-|F[s(n-m)]|.

[0025] (5) The calculation device 5 receives the output data of the calculation device 4 an...

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 moving target detector using the time-delayed FRFT module difference, and the technology belongs to the field of radar signal processing. The existing moving target detection methods mainly include methods based on statistical models, fractals and modern signal processing techniques. These methods have weaknesses such as narrow application range, unsatisfactory suppression of background clutter and interference, and difficulty in implementation. The present invention adopts the maximum positive value of the difference between the FRFT modulus of the received signal and its delayed signal as the detection statistic. The detector can suppress interference and clutter, improve the signal-to-clutter ratio to a certain extent, and can effectively detect moving targets under low signal-to-clutter ratio. Because it is simple and easy to implement, it can be applied to signal processing systems of various reconnaissance and warning radars, and has the value of popularization and application.

Description

[0001] 1. Technical field [0002] The invention relates to a moving target detector using the time-delayed FRFT mode difference in the field of radar signal processing, which is suitable for signal processing systems of various imaging reconnaissance and early warning radars. [0003] 2. Background technology [0004] The effective detection of moving targets has always been a hot spot. The traditional method to deal with this problem is the detection method based on the statistical model of clutter. The first problem of this kind of method is to establish the statistical model of clutter. Later, some scholars took another approach and applied fractal theory to some clutter environments such as sea clutter that satisfy fractal characteristics. Generally, the target is detected by using the feature that the fractal dimension of the target echo is lower than that of the clutter echo. With the development of modern signal processing technology, modern signal processing technolo...

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
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01S13/04
Inventor 关键李宝陈小龙黄勇宋杰董云龙郭海燕何友
Owner 中国人民解放军海军航空大学航空作战勤务学院
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products