Land-sea clutter classification method based on time domain and frequency domain multi-features

A time-domain, frequency-domain, classification method technology, applied in the research field of radar clutter characteristics, can solve the problems of not considering the radar echo phase information, the weakening of the effectiveness of the amplitude mean feature, and the lack of data samples.

Active Publication Date: 2020-10-23
中国电波传播研究所
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Problems solved by technology

There are several limitations in this method: one is that the phase information of the radar echo is not considered; the other is that the amplitude distribution model of the clutter is limited by the K distribution shape parameter of the radar echo amplitude; the third is that for each radar spatial resolution unit The estimation of statistical properties such as amplitude distribution and time correlation requires a large number of data samples. In the literature, the echo data of multiple scanning cycles is u

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  • Land-sea clutter classification method based on time domain and frequency domain multi-features
  • Land-sea clutter classification method based on time domain and frequency domain multi-features
  • Land-sea clutter classification method based on time domain and frequency domain multi-features

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Embodiment 1

[0034] Example 1, such as figure 1 As shown, this embodiment discloses a method for classifying earth-sea clutter based on time-domain and frequency-domain multi-features, including the following steps:

[0035] Step 1. Calculate the normalized power variance, Doppler bandwidth, Doppler spectral entropy and Doppler spectral peak power ratio of the echo of a single radar spatial resolution unit:

[0036] Step 11, the echo data of the jth range unit and the kth azimuth unit of the radar are expressed as a complex number sequence x j,k ={x(n;j,k),n=1,2,...,N}, where j, k represent natural numbers, and their corresponding power values ​​are expressed as x' j,k ={|x(n;j,k)| 2 ,n=1,2,...,N}, where |·| means to take the absolute value, and the normalized power variance of the resolution unit is Among them, var{} means to take the variance, and max{} means to take the maximum value;

[0037] Step 12, calculate the Doppler power spectrum y of the radar echo of the j-th range cell ...

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Abstract

The invention discloses a land-sea clutter classification method based on time domain and frequency domain multi-features. The method comprises the following steps: 1, calculating normalized power variance, Doppler bandwidth, Doppler spectrum entropy and Doppler spectrum peak power ratio of echoes of a single radar spatial resolution unit; 2, generating feature data and category data of ground clutter and sea clutter based on the step 1; 3, constructing a BP neural network; 4, calculating normalized power variance, Doppler bandwidth, Doppler spectrum entropy and Doppler spectrum peak power ratio of each spatial resolution unit in a radar detection scene; and 5, performing judgment according to an output result. According to the land-sea clutter classification method based on time domain and frequency domain multi-features, land and sea clutter classification of different motion platform radars can be realized.

Description

technical field [0001] The invention belongs to the field of research on radar clutter characteristics, and in particular relates to a classification method for ground-sea clutter based on time-domain and frequency-domain multi-features in the field, which can be used for the classification of ground-sea clutter in radar detection scenes. Background technique [0002] Maritime surveillance radar detection scenarios are complex, including not only ocean areas but also land areas and sea islands. In order to improve the performance of radar target detection, prior clutter knowledge is needed. The radar sea surveillance scene is divided into sea clutter area and ground clutter area, and the radar detection performance can be improved by processing them separately. The study of clutter characteristics shows that there are certain differences in amplitude statistical characteristics, spectral characteristics, and scattering characteristics between ground and sea clutter, which pr...

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Application Information

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IPC IPC(8): G01S7/36G06N3/04G06N3/08
CPCG01S7/36G06N3/04G06N3/08
Inventor 夏晓云张玉石李清亮尹志盈朱秀芹黎鑫许心瑜张浙东张金鹏尹雅磊赵鹏李慧明李善斌万晋通余运超
Owner 中国电波传播研究所
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