Source domain generation and distribution parameter generalization method for sea clutter in unknown sea area

Abstract

The invention provides a source domain generation and distribution parameter generalization method for sea clutter in an unknown sea area. The method comprises the steps that 1, a feature extraction module extracts sea clutter features of an unknown sea area; 2, a generation domain module generates a migration source domain according to the sea clutter features; 3, a model training module performsmodel training according to the migration source domain; 4, the migration source domain is optimized by a model selection module to obtain a real migration source domain; and 5, the real migration source domain is trained by a model migration module to obtain a parameter estimation model for predicting sea clutters of the real data domain of the unknown sea area. According to the method, the model acting on the source domain is generalized in the real clutter domain through adoption of a parameter generalization method, the parameter estimation model of the real domain is obtained, and the purpose of estimating the real clutter parameters is achieved.

Description

technical field [0001] The invention relates to the technical field of sea clutter parameter estimation, in particular to a source domain generation and distribution parameter generalization method for sea clutter in unknown sea areas. Background technique [0002] As early as the last century, scholars began to study the statistical model of radar clutter, and a large number of researchers conducted a large number of theoretical analysis and data experiments. So far, the main research methods for estimation of sea clutter amplitude distribution parameters are: regard sea clutter as a random process, study the classic sea clutter statistical model based on traditional statistical theory, and use statistical theory as the basis The research on the statistical characteristics of sea clutter has been basically perfected into a set of theories, which dominates the research field of sea clutter analysis. [0003] From the perspective of statistical theory, radar clutter is the v...

AI Technical Summary

Problems solved by technology

[0014] The above technical solution is to estimate the parameters of the sea clutter by establishing a neural network model, and there is a technical problem of low parameter estimation accuracy;

[0015] The traditional sea clutter radar echo amplitude distribution estimation method has the technical problems of lack of real-time performance and easy to fall into local optimal solution

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