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

Sea surface small target detection method based on polarization signal multi-scale entropy characteristics

A technology for small target detection and multi-scale entropy, which is applied in measurement devices, radio wave measurement systems, and radio wave reflection/re-radiation. The effect of improving performance and simple algorithm structure

Pending Publication Date: 2021-10-01
厦门天吴智能科技有限公司
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The mathematical models established by single-feature methods such as scattering statistics and fractals for sea clutter are all based on the assumption of independent scattering. Although good results have been achieved in some applications, this assumption does not conform to all real Radar Scattering Mechanisms in Natural Scenes

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
  • Sea surface small target detection method based on polarization signal multi-scale entropy characteristics
  • Sea surface small target detection method based on polarization signal multi-scale entropy characteristics
  • Sea surface small target detection method based on polarization signal multi-scale entropy characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] Please refer to figure 1 , a sea surface small target detection method based on the multi-scale entropy feature of the polarization signal, including the steps:

[0053] S1. Obtain radar echo data, and determine the maximum sliding window length of the radar echo data;

[0054] Step S1 is specifically:

[0055] Get the radar echo data of rb range cells {s i}(i=1,2,3...,rb), and determine the maximum sliding window length corresponding to the radar echo data when the multi-scale entropy converges.

[0056] The basis for judging the convergence of multi-scale entropy is:

[0057]

[0058] Among them, d represents the Euclidean distance between two vectors;

[0059] MSE means multi-scale entropy;

[0060] δ represents the threshold value, the value is 0.01;

[0061] τ represents the scale factor, the value is 20;

[0062] r=0.15*std{s}, where std{s} represents the standard deviation of random sequence s;

[0063] If the above judgment is true, the maximum sliding ...

Embodiment 2

[0089] The difference between this embodiment and Embodiment 1 is that this embodiment will further illustrate how to realize the above-mentioned sea surface small target detection method based on the multi-scale entropy feature of the polarization signal in combination with specific application scenarios:

[0090] 1. Determination of the maximum sliding window length;

[0091] Get the radar echo data of rb range cells {s i}(i=1,2,3...,rb), and determine the maximum sliding window length corresponding to the radar echo data when the multi-scale entropy converges.

[0092] The basis for judging the convergence of multi-scale entropy is:

[0093]

[0094] Among them, d represents the Euclidean distance between two vectors;

[0095] MSE means multi-scale entropy;

[0096] δ represents the threshold value, the value is 0.01;

[0097] τ represents the scale factor, the value is 20;

[0098] r=0.15*std{s}, where std{s} represents the standard deviation of random sequence s; ...

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 relates to a sea surface small target detection method based on the polarization signal multi-scale entropy characteristics, the radar echo signal single feature is adopted, the algorithm structure is simple, and the calculated amount and complexity are small; a parallel architecture and an algorithm can be adopted, so that the requirement of real-time processing of radar echo signals is further met; and after the polarized multi-scale entropy index is adopted, the unit containing the small target distance is detected due to the minimum multi-scale entropy index value. Moreover, under the polarized multi-scale entropy index, the multi-scale entropy index of the sea surface clutter shows stable or unchanged characteristics in all test data, and part of sudden fluctuations can be eliminated by adopting a fitting method, so that the characteristics of the sea surface clutter can be well identified, and the target detection performance is further improved.

Description

technical field [0001] The invention relates to the technical field of radar signal processing, in particular to a sea surface small target detection method based on multi-scale entropy features of polarization signals. Background technique [0002] Radar detection of small targets on the sea has a huge application demand in the fields of ocean telemetry, ship traffic safety, and emergency rescue at sea, but there are huge challenges in radar detection of small targets on the sea. This is because the radar echoes of small targets on the sea are generally small, especially in high sea conditions, the radar echoes of the target are usually "obliterated" by the radar clutter on the sea surface, which leads to a greater probability of false alarms in the detection of small targets (FAR, False Alarm Rate), it can't even be detected at all. [0003] The essential property of the radar detection problem of small targets on the sea surface is a classification problem, that is, to a...

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
IPC IPC(8): G01S7/292G01S7/35G01S13/88
CPCG01S7/2923G01S7/354G01S13/88
Inventor 姜睿陈锟山林忠孙强吉玮
Owner 厦门天吴智能科技有限公司
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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com