Sea surface weak target detection method based on AR spectrum singular intensity function

A detection method and weak target technology, applied in the field of radar, can solve problems such as poor spectrum resolution, improve frequency resolution, and overcome the effect of detection performance degradation

Active Publication Date: 2020-08-25
NORTHWESTERN POLYTECHNICAL UNIV
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But Fourier analysis implicitly adopts a seemingly natural assumption, that is, except for the observed data that can be obtained, other values ​​​​of the series are considered to be zero, ...

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  • Sea surface weak target detection method based on AR spectrum singular intensity function
  • Sea surface weak target detection method based on AR spectrum singular intensity function
  • Sea surface weak target detection method based on AR spectrum singular intensity function

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Embodiment Construction

[0037] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0038] refer to figure 1 , the specific implementation process of the present invention is as follows:

[0039] Step 1. Divide the time series of radar echoes into several small sequences, and calculate the AR spectrum of each sea clutter sequence.

[0040] Let the sea clutter echo time series be X={X i ,i=1,2,3,…n}, calculate the AR spectrum of sea clutter

[0041]

[0042] where a p,k is the AR coefficient, is the noise power, obtained by solving the Yule-walker equation in "AR-based Growler detection in seaclutter, IEEE trans. on Signal Processing, Vol.41, No.3, 1993".

[0043] Step 2, determining the fractal characteristics of AR spectrum of sea clutter.

[0044] a) For the AR spectrum sequence obtained in step 1 Using Sequences and Sequences for AR Spectrum Perform normalization processing to obtain the sequence s={s k ,k=1,2,3..N}. ...

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Abstract

The invention provides a sea surface weak target detection method based on an AR spectrum singular intensity function, and the method comprises the steps: estimating an AR spectrum of a sea clutter through employing a time domain echo signal of the sea clutter, judging the fractal characteristics of the AR spectrum of the sea clutter, calculating the value interval width of the singular intensityfunction of the AR spectrum of the sea clutter, and carrying out the design of a constant false alarm detector. According to the method, the non-Gaussian, non-stationary and non-linear characteristicsof the sea clutter are utilized, and the defect that the detection performance of a traditional target detection method is reduced due to sea clutter model mismatch is overcome by analyzing the fractal characteristics of the AR spectrum of the sea clutter; AR power spectrum analysis is adopted, the defects of traditional time domain and frequency domain fractal analysis are overcome, the influence of time correlation on fractal characteristic analysis is fully considered, and the frequency resolution of the AR power spectrum is greatly improved; and the detection performance and stability ofthe sea surface weak target under the low signal-to-clutter ratio background are improved.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a weak target detection method under the background of sea clutter. The invention can be used for shore-based warning radar or sea search radar, by analyzing the characteristics of the singular intensity function value of the sea clutter AR spectrum, combined with the non-parametric constant false alarm detection method to realize target detection, it has relatively low signal-to-clutter ratio Good detection performance. Background technique [0002] Sea clutter is the backscattered echoes of radar transmitted pulses illuminating the sea surface. The characteristic analysis and modeling simulation of sea clutter are very important for designing effective radar detection scheme and evaluating radar detection performance. The traditional research is mainly to study its statistical properties and establish a statistical distribution model. However, these models treat sea clutter as...

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Application Information

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IPC IPC(8): G01S13/88G01S7/41G01S7/292
CPCG01S13/88G01S7/418G01S7/292
Inventor 范一飞李浩江陶明亮粟嘉王伶张兆林李滔宫延云韩闯
Owner NORTHWESTERN POLYTECHNICAL UNIV
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