Dim sea surface radar target detection method based on AR spectrum fractal

Abstract

The invention discloses a dim sea surface radar target detection method based on AR spectrum fractal. The dim sea surface radar target detection method based on AR spectrum fractal is mainly characterized by comprising steps that, a sea clutter echo time sequence is set to be X, an AR spectrum sequence S of sea clutter is estimated by employing a Yule-walker equation method, and fractal characteristic determination for the AR spectrum sequence S of the sea clutter is carried out by utilizing a random walk model; an AR spectrum Hurst index of a structure function F(m) at an mth sampling interval is calculated, the AR spectrum Hurst index of the AR spectrum sequence S of the sea clutter at the mth sampling interval is acquired, the AR spectrum Hurst index is further taken as statistics inspection amount, radar target detection is carried out by employing a nonparametric constant false alarm detection method, a problem that a traditional detection algorithm has poor performance under the condition of a low radar signal-to-clutter ratio is effectively solved. The method has detection performance better than those of an existing fractal detection algorithm and the traditional constant false alarm detection algorithm, and dim radar target detection performance under the condition of the low radar signal-to-clutter ratio is improved.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, in particular to a method for detecting weak radar targets on the sea surface based on AR spectral fractals, that is, a method for detecting weak radar targets on the sea surface based on autoregressive (AR) spectral fractals is applicable to shore-based warning radars or By analyzing the fractal characteristics of the sea clutter AR spectrum, the sea search radar achieves better detection performance in the case of low signal-to-clutter ratio. Background technique [0002] Sea clutter is the backscattered echo obtained when the pulse emitted by the radar illuminates the sea surface. The characteristic analysis and modeling simulation of the sea clutter will help to design an effective radar detection scheme and evaluate the detection performance of the radar; and in the sea clutter In the background of clutter, the main interference to the detection of radar targets comes from the...

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Problems solved by technology

[0003] Fractal theory has an important application in the field of radar signal processing. In "Fractal characterization of sea-scattered signals and detection of sea-surface targets, IEEE Proc.-F, Vol. 140, No. 4, 1993", Lo et al. proposed a single fractal dimension based on sea clutter time domain. A number of target detection methods, but the detection performance of this method is relatively poor in the case of low signal

[0004] Guan et al. proposed a target detection method based on the Hurst exponent in the frequency domain of sea clutter in "Fractalcharacteristicinfrequencydomainfortargetdetectionwithinseaclutter, IETRadar, Sonar&Navigation, Vol.6, No.5, pp.2012", but the method uses Fourier analysis A seemingly natural assumption is implicitly adopted, that is, except for the observed data that can be obtained in the sequence, other values ​​​​of the sequence are considered to be zero, but the sequence or the autocorrelation function of the sequence cannot be observed or cannot The estimated value is actually not all zero, and the spectral resolution obtained by this method through Fourier analysis is poor

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