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
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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 clutte

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  • 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

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

[0045] Reference attached figure 1 The specific steps of the present invention are as follows.

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

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

[0048] The specific implementation steps are as follows:

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

[0050]

[0051] Where p(x i ) Represents the probability density function of the structural components of the Pareto distribution of sea clutter, x i Represents the amplitude value of the structura...

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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 ...

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Application Information

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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
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