Self-adaptive radar marine clutter prediction system and method

A forecasting system, sea clutter technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as poor adaptive forecasting efficiency

Inactive Publication Date: 2011-09-14
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to overcome the shortcomings of poor adaptive forecasting efficiency of traditional radar sea clutter forecasting methods, the present inven

Method used

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  • Self-adaptive radar marine clutter prediction system and method
  • Self-adaptive radar marine clutter prediction system and method
  • Self-adaptive radar marine clutter prediction system and method

Examples

Experimental program
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Effect test

Embodiment 1

[0094] refer to figure 1 , figure 2 , an adaptive radar sea clutter forecasting system, comprising a radar 1, a database 2 and a host computer 3, the radar 1, the database 2 and the host computer 3 are connected in sequence, the radar 1 irradiates the detected sea area, and the radar sea The clutter data is stored in the database 2, and the upper computer 3 includes:

[0095] The data preprocessing module 4 is used for radar sea clutter data preprocessing, which is completed by the following process:

[0096] 1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0097] 2) Normalize the training samples to obtain the normalized amplitude

[0098] x ‾ i = x i - min x max x - min ...

Embodiment 2

[0138] refer to figure 1 , figure 2 , a kind of adaptive radar sea clutter prediction method, described method comprises the following steps:

[0139] (1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0140] (2) Normalize the training samples to obtain the normalized amplitude

[0141] x ‾ i = x i - min x max x - min x

[0142] Among them, minx represents the minimum value in the training sample, and maxx represents the maximum value in the training sample;

[0143] (3) Reconstruct the normalized training samples to obtain the input matrix X and the corresponding output matrix Y respectively:

[0144] X = ...

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PUM

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Abstract

The invention discloses a self-adaptive radar marine clutter prediction system which comprises a radar, a database and an upper computer, wherein the radar, the database and the upper computer are sequentially connected; the radar is used for irradiating a marine area to be detected and storing radar marine clutter data to the database; and the upper computer comprises a data preprocessing module, a robustness prediction module modeling module, a self-adaptive gunz optimizing module, a marine clutter prediction module, a discriminant model updating module and a result displaying module. The invention also provides a self-adaptive radar marine clutter prediction method. The self-adaptive radar marine clutter prediction system and method provided by the invention have the advantages of parameter self-adaption, good optimizing effect and high prediction efficiency.

Description

technical field [0001] The invention relates to the field of radar data processing, in particular to an adaptive radar sea clutter forecasting system and method. Background technique [0002] Sea clutter, that is, backscattered echoes from a patch of sea illuminated by radar transmissions. Because sea clutter severely restricts the detectability of radar echoes from "point" targets on or near the sea surface, such as navigational buoys and ice blocks floating on the sea, the study of sea clutter has a great impact on the ocean background. The detection performance of ships and other targets has a very important impact, so it has important theoretical significance and practical value. [0003] Habitual Shanghai clutter is regarded as a single random process, such as lognormal distribution, K distribution, etc. However, these models have their specific limitations in practical applications. One of the important reasons is that the seemingly random waveforms of sea clutter do...

Claims

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Application Information

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IPC IPC(8): G01S7/41
Inventor 刘兴高闫正兵李久宝
Owner ZHEJIANG UNIV
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