Parameter estimation range expansion method for sea clutter pareto distribution model
A distribution model and parameter estimation technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as limitations, and achieve the effect of expanding the estimation range, avoiding numerical operations, and reducing computing time.
Active Publication Date: 2018-07-17
XIDIAN UNIV
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[0009] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a method for expanding the parameter estimation range of the sea clutter Pareto distribution model based on closed expressions, so as to solve the problem that the effective parameter estimation range is limited while improving the operation efficiency. problem, to ensure the real-time performance of radar target detection
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[0037] The present invention aims at the advantages and disadvantages of the existing sea clutter Pareto distribution model shape parameter estimation method, proposes a negative second-order moment estimation method, obtains a closed shape parameter estimation expression, and combines the present invention with the first-second-order moment estimation method through simulation experiments The method, the positive fractional moment estimation method and the negative fractional moment estimation method are compared, and it is proved that the present invention not only effectively expands the estimation range of the shape parameter, but also improves the estimation efficiency.
[0038] The present invention will be described in further detail below in conjunction with the accompanying drawings and specific embodiments.
[0039] refer to figure 1 , the method for expanding the parameter estimation range of the sea clutter Pareto distribution model of the present invention compris...
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The invention discloses a parameter estimation range expansion method of a sea clutter Pareto distribution model. The method mainly solves the problem of effective estimation range limitation during the sea clutter shape parameter estimation in the prior art, and uses the realization scheme of 1, building a Pareto distribution model f<N>(z) of the sea clutters according to the composite model theory of the sea clutters; 2, using the Pareto distribution possibility density function of the sea clutters in N times of observation to deduce the r-odor origin matrix estimation expression <z<r>> of the practical observation value z of the sea clutters; 3, enlarging the value range of the r to the negative number range; estimating the sea clutter shape parameter alpha to obtain the estimated expression of the alpha; 4, when the observation times N is greater than 2, estimating the Pareto distribution parameter of the shape parameter in the range that alpha is an element of a set from 0 to positive infinity. The parameter estimation range expansion method has the advantages that the shape estimation range of the sea clutters is effectively enlarged; the estimation efficiency is improved; the method can be used for target detection.
Description
technical field [0001] The invention belongs to the technical field of radar signal processing, and in particular relates to a method for expanding the parameter estimation range of a sea clutter Pareto distribution model, which can be used for target detection. Background technique [0002] Parameter estimation has always been a core issue in the field of signal and information processing. The K-distribution model of sea clutter has attracted extensive attention from many scholars because of its reasonable theoretical explanation and good practical fitting. However, when the sea peak is strong, the K distribution model often cannot fit the actual sea clutter well at its tail. Although the KA and KK distributions can better fit the measured sea clutter than the K distribution, they are also due to The new components introduced bring more parameter estimation requirements and affect the real-time performance of radar target detection. [0003] Many literatures and studies i...
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IPC IPC(8): G01S7/41
CPCG01S7/414
Inventor 罗丰陈世超胡冲雒梅逸香王志涛张玉褀崔梦强董明阳
Owner XIDIAN UNIV