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
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[0083] Example 1
[0084] Reference figure 1 , figure 2 , A group intelligence radar sea clutter forecasting system, including radar 1, database 2, and upper computer 3. Radar 1, database 2 and upper computer 3 are connected in turn. The radar 1 illuminates the detected sea area and combines the radar sea clutter The wave data is stored in the database 2, and the host computer 3 includes:
[0085] The data preprocessing module 4 is used to preprocess the radar sea clutter data, 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 get the normalized amplitude
[0088] x ‾ i = x i - min x max x - min x
[0089] Among them, min x represents the minimum value in the training sample, and max x represents the maximum value in the training sample;
[0090] 3) Reconstruct the normalized training ...
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[0122] Example 2
[0123] Reference figure 1 , figure 2 , A Qunzhi radar sea clutter prediction method, the method includes 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 get 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:
[0129] X = x ‾ 1 x ‾ 2 L x ‾ D x ‾ 2 x ‾ 3 L x ‾ D + 1 M M O M x ‾ N - D x ‾ N - D + 1 L x ‾ N - 1
[0130] Y = ...
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