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

Multi-fractal detection method of targets in FRFT (Fractional Fourier Transformation) domain sea clutter

A detection method, sea clutter technology, applied in the direction of radio wave measurement systems, instruments, etc., can solve the problem that the advantages are not well combined, and achieve the effect of improving the ability to distinguish, reducing the amount of calculation, and improving real-time performance

Active Publication Date: 2014-08-13
NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
View PDF2 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Fractional Fourier transform and multifractal theory both have their own advantages in the detection of weak radar signals, but they have been applied separately in the micro-processing of radar signals, and the advantages of the two have not been well combined. stand up

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
  • Multi-fractal detection method of targets in FRFT (Fractional Fourier Transformation) domain sea clutter
  • Multi-fractal detection method of targets in FRFT (Fractional Fourier Transformation) domain sea clutter
  • Multi-fractal detection method of targets in FRFT (Fractional Fourier Transformation) domain sea clutter

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0015] 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:

[0016] (1) Input the pre-acquired radar sea clutter experimental data into computing device 1 to perform fractional Fourier transform processing to obtain the fractional Fourier transform spectrum of sea clutter. In this step, the radar experimental data can be acquired as follows Mode: the radar starts to scan the sea surface for a period of time before the application of the present invention, accepts and stores the radar zero intermediate frequency I / Q two-way sea surface echo data as the radar experiment data; The number is the empirical transformation order, and the value range is [0.8, 1) or (1, 1.3].

[0017] (2) Computing device 2 accepts the sea clutter fractional Fourier transform spectrum obtaine...

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 multi-fractal detection method of targets in FRFT (Fractional Fourier Transformation) domain sea clutter and belongs to the radar signal processing field. According to the conventional multi-fractal detection methods of targets in sea clutter, echo sequences in the radar time domain are processed directly, and therefore detection performance of weak moving targets in strong sea clutter background is poor. The multi-fractal detection method of targets in FRFT domain sea clutter is characterized in that fractional Fourier transformation is organically combined with the multi-fractal processing method, and the generalized Hurst index number of the sea-clutter fractional Fourier transformation spectrum is extracted to form detection statistics by comprehensively utilizing the advantage that the fractional Fourier transformation is capable of effectively improving the signal to clutter ratio of the moving target on the sea surface and the feature that the multi-fractal characteristic is capable of breaking the tether of the signal to clutter ratio to a certain extent. The detection method comprehensively utilizes the advantages of phase-coherent accumulation and multi-fractal theory and has excellent separating capability on the weak moving targets in sea clutter; and simultaneously, the method is also suitable for tracking target signals in nonuniform fractal clutter and has popularization and application values.

Description

1. Technical field [0001] The present invention relates to a method for detecting targets in the field of radar signal processing using multifractal features in the fractional Fourier transform domain of sea clutter, that is, a multifractal detection method for targets in sea clutter in the FRFT domain, which is applicable to various sea imaging Coherent radar signal processing system for reconnaissance and surveillance. 2. Background technology [0002] Since the 1980s, fractal theory has made great progress in the field of radar signal processing. It studies its irregularities from the perspective of the structure of the research object. Therefore, the fractal model can explain the mechanism of sea clutter and can better Characterize the nonlinear dynamic characteristics contained in the sea clutter. In 2002, Gao et al. divided sea clutter into a series of probability subsets according to the probability of occurrence and studied the self-similarity of sea clutter in each...

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): G01S7/41
Inventor 关键刘宁波王国庆包中华宋杰黄勇何友
Owner NAVAL AERONAUTICAL & ASTRONAUTICAL UNIV PLA
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