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A Fast Fractional Moment Estimation Method for Sea Clutter k-Distribution Plus Noise Model Parameters

A noise model, sea clutter technology, applied in the field of signal processing, can solve problems such as insufficient robustness and slow estimation speed

Active Publication Date: 2020-12-29
BEIJING INST OF ENVIRONMENTAL FEATURES
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is: the existing K distribution plus noise model shape parameter ν estimation speed is slow and the robustness is insufficient

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  • A Fast Fractional Moment Estimation Method for Sea Clutter k-Distribution Plus Noise Model Parameters
  • A Fast Fractional Moment Estimation Method for Sea Clutter k-Distribution Plus Noise Model Parameters
  • A Fast Fractional Moment Estimation Method for Sea Clutter k-Distribution Plus Noise Model Parameters

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[0056] In order to make the object, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the embodiments of the present invention. Apparently, the described embodiments are some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] figure 1 A schematic flow chart of the fast fractional moment estimation method for the parameters of the sea clutter K distribution plus noise model (this model is an existing theory, such as the theoretical model proposed by Watts, S.) according to an embodiment of the present invention is given . Such as figure 1 As shown, according to an embodiment of the present invention, the specific steps of the fast ...

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Abstract

The invention relates to a fast fractional order moment estimation method for a sea clutter K distribution and noise model parameter. the method comprises the following steps of generating a sequenceset to serve as a sequence of the values of a shape parameter nu; generating a sequence set to serve as a sequence of the values of a data dependency q1; acquiring a sequence of a data dependency q2 corresponding to the sequence of the shape parameter nu and the sequence of the data dependency q1; performing non-linear fitting on the two data dependency sequences and the reciprocal sequence of theshape parameter, thus acquiring an approximate relation; acquiring the estimated value FORMULA of sea clutter sample data noise power delta by using a periodogram method; acquiring estimated values FORMULA and FORMULA by using a sample sequence of sea clutter data; replacing q1 in the approximate relation with FORMULA, and replacing q2 in the approximate relation with FORMULA, thus acquitting theestimated value FORMULA of the shape parameter nu. According to the method provided by the invention, the estimation speed of the K distribution and noise model parameter is improved, and the estimation robustness is enhanced.

Description

technical field [0001] The invention relates to the technical field of signal processing, in particular to a fast fractional moment estimation method for sea clutter K distribution plus noise model parameters. Background technique [0002] Sea clutter is the echo formed by the backscattering of a large number of independent sea surface scatterers superimposed on each other. Affected by radar parameters and irregular motion of the sea surface, sea clutter shows obvious high amplitude, non-stationary, and non-Gaussian sex. The K distribution model is a classic statistical model that can effectively describe the characteristics of sea clutter. It can not only match the amplitude distribution of sea clutter well in a wide range of conditions, but also correctly describe the temporal and spatial distribution of clutter. Correlation is widely used in clutter simulation, target detection and other fields. However, the additive noise generated by the radar equipment itself still e...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41G01S7/295
Inventor 郝津钏陈勇
Owner BEIJING INST OF ENVIRONMENTAL FEATURES
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