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

Sea clutter Pareto distribution parameter estimation method based on logarithm cumulant

A technology of distributing parameters and sea clutter, applied in radio wave measurement systems, instruments, etc., can solve the problem of limited number of observations, and achieve the effects of low estimation bias, wide application range, and improved estimation accuracy.

Active Publication Date: 2018-01-19
XIDIAN UNIV
View PDF5 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to overcome the deficiencies of the above existing sea clutter Pareto distribution parameter estimation method, and provide a sea clutter Pareto distribution parameter estimation method based on logarithmic cumulant, to improve the estimation accuracy while solving the problem of observation times restricted question

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 clutter Pareto distribution parameter estimation method based on logarithm cumulant
  • Sea clutter Pareto distribution parameter estimation method based on logarithm cumulant
  • Sea clutter Pareto distribution parameter estimation method based on logarithm cumulant

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] Refer to attached figure 1 , the concrete steps of the present invention are as follows.

[0046] Step 1. Obtain the probability density function expression of the sea clutter Pareto distribution with multiple observations.

[0047]According to the probability density expressions of structure component and speckle component of sea clutter Pareto distribution, the expression of probability density function of sea clutter Pareto distribution with multiple observations is obtained.

[0048] The specific implementation steps are as follows:

[0049] According to the following formula, the probability density function of the sea clutter Pareto distribution structure component is calculated:

[0050]

[0051] Among them, p(x i ) represents the probability density function of the structure component of the sea clutter Pareto distribution, x i Indicates the ampl...

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 present invention discloses a sea clutter Pareto distribution parameter estimation method based on a logarithm cumulant. According to the method, firstly a Pareto distribution probability densityexpression of sea clutter is obtained, then two calculation methods of logarithm statistic are used to estimate the Pareto distribution of the sea clutter observed in multiple times, and the estimation of Pareto distribution shape parameters and scale parameters of the sea clutter observed in multiple times is completed. The method concretely comprises the steps of (1) obtaining the Pareto distribution probability density expression of the sea clutter observed in multiple times, (2) calculating a reference value of the logarithm cumulant, (3) obtaining a sea clutter average value sequence, (4)calculating an estimated value of the logarithm cumulant, and (5) extracting parameter information. According to the method, a defect that the parameter estimation of sea clutter Pareto observed in asingle time cannot be carried out in the prior art is overcome, the applicable range of the parameter estimation is expanded, and the accuracy of the parameter estimation is improved.

Description

technical field [0001] The invention belongs to the technical field of radar signal processing, and further relates to a sea clutter Pareto distribution parameter estimation method based on logarithmic cumulants in the technical field of radar clutter parameter estimation. The present invention can be used in the case of different observation times to extract the parameters of Pareto distribution of sea clutter, and use the clutter model of specific parameters to realize target detection under the background of sea clutter. Background technique [0002] Parameter estimation has always been a core issue in the field of signal and information processing. The Pareto distribution model of sea clutter has attracted extensive attention from many scholars due to its reasonable theoretical explanation and good practical fitting. It not only better fits the measured data at the tail, but also the radar Object detectors have a more compact form. At present, the parameter estimation ...

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): G01S7/292G01S7/295G01S7/35G01S7/41
Inventor 罗丰陈世超雒梅逸香任佩郑朋伟
Owner XIDIAN UNIV
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