A detection method of weak targets on sea surface based on singular intensity function of ar spectrum

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: 2022-08-05
NORTHWESTERN POLYTECHNICAL UNIV
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Problems solved by technology

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, but those of the series or its autocorrelation function we cannot The observed or unestimated values ​​are actually not all zero, and the spectral resolution obtained by Fourier analysis is poor

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  • A detection method of weak targets on sea surface based on singular intensity function of ar spectrum
  • A detection method of weak targets on sea surface based on singular intensity function of ar spectrum
  • A detection method of weak targets on sea surface based on singular intensity function of ar spectrum

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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 concrete realization process of the present invention is as follows:

[0039] Step 1: Divide the time series of radar echoes into several sub-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, solved by the Yule-walker equation method 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 the AR spectrum of the sea clutter.

[0044] a) For the AR spectrum sequence obtained in step 1 with sequence and pair AR spectrum sequence Perform normalization to get the sequence s={s k ,k=1,2,3..N}.

[0045]

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Abstract

The invention provides a method for detecting weak targets on the sea surface based on the singular intensity function of the AR spectrum. The time domain echo signal of the sea clutter is used to estimate the AR spectrum of the sea clutter, and the fractal characteristics of the AR spectrum of the sea clutter are determined. The width of the value interval of the singular intensity function of the wave AR spectrum is calculated, so as to design the constant false alarm detector. The invention utilizes the non-Gaussian, non-stationary and nonlinear characteristics of the sea clutter, and overcomes the detection performance decline caused by the mismatch of the sea clutter model in the traditional target detection method by analyzing the fractal characteristics of the sea clutter AR spectrum; The AR power spectrum analysis overcomes the shortcomings of traditional time-domain and frequency-domain fractal analysis, fully considers the influence of time correlation on the analysis of fractal characteristics, and greatly improves the frequency resolution of AR power spectrum; The detection performance and stability of weak targets on the sea surface under the background of noise ratio.

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 AR spectrum of sea clutter, and combining with the non-parametric constant false alarm detection method, target detection is realized, and it has a relatively low signal-to-noise ratio under the condition of low signal-to-noise ratio. good detection performance. Background technique [0002] Sea clutter is the backscattered echoes of radar pulses illuminating the sea surface. Characteristic analysis and modeling and simulation of sea clutter are crucial for designing effective radar detection schemes and evaluating radar detection performance. The traditional research is mainly to study its statistical characteristics and establish statistical distribution m...

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Application Information

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Patent Type & Authority Patents(China)
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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