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System and method for forecasting Qunzhi radar sea clutters

A forecast system, sea clutter technology, applied in radio wave measurement systems, special data processing applications, instruments, etc., can solve problems such as non-random distribution characteristics

Inactive Publication Date: 2011-08-10
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, these models have their specific limitations in practical applications. One of the important reasons is that the seemingly random waveform of sea clutter does not actually have random distribution characteristics.

Method used

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  • System and method for forecasting Qunzhi radar sea clutters
  • System and method for forecasting Qunzhi radar sea clutters
  • System and method for forecasting Qunzhi radar sea clutters

Examples

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Embodiment 1

[0084] refer to figure 1 , figure 2 , a swarm intelligence 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 clutter The wave data is stored in the database 2, and the upper computer 3 includes:

[0085] The data preprocessing module 4 is used for radar sea clutter data preprocessing, which is completed by the following process:

[0086] 1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0087] 2) Normalize the training samples to obtain the normalized amplitude

[0088] x ‾ i = x i - min x max x - ...

Embodiment 2

[0123] refer to figure 1 , figure 2 , a crowd intelligence radar sea clutter forecasting method, described method comprises the following steps:

[0124] (1) Collect N radar sea clutter echo signal amplitude x from the database i As a training sample, i=1,...,N;

[0125] (2) Normalize the training samples to obtain the normalized amplitude

[0126] x ‾ i = x i - min x max x - min x

[0127] Among them, min x represents the minimum value in the training sample, and max x represents the maximum value in the training sample;

[0128] (3) Reconstruct the normalized training samples to obtain the input matrix X and the corresponding output matrix Y respectively:

[0129] X = ...

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PUM

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Abstract

The invention relates to a system for forecasting Qunzhi radar sea clutters. The system comprises radar, a database and an upper computer. The radar, the database and the upper computer are sequentially and mutually connected; the radar is used for illuminating a detecting sea area and storing radar sea clutter data in the database; the upper computer comprises a data pre-processing module, a robustness forecasting model building module, a Qunzhi optimizing module, a sea clutter forecasting module, a discriminative model updating module and a result display module. The invention also provides a method for forecasting the Qunzhi radar sea clutters. The system and the method for forecasting the Qunzhi radar sea clutters have the advantages of quick response and high intelligence and can obtain optimal forecasting results.

Description

technical field [0001] The invention relates to the field of radar data processing, in particular to a crowd intelligence 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 c...

Claims

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Application Information

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IPC IPC(8): G01S7/41G01S7/48G01S7/539G06F19/00
Inventor 刘兴高闫正兵李久宝
Owner ZHEJIANG UNIV
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