Subaperture smoothness-based auxiliary clutter sample selection method

A screening method and sub-aperture technology, applied in radio wave measurement systems, instruments, etc., can solve problems such as pollution, output signal-to-noise ratio decline, etc., achieve the effect of reducing degrees of freedom, reducing the complexity of rejection, and improving the effect of rejection

Active Publication Date: 2019-12-27
XIAN INSTITUE OF SPACE RADIO TECH
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Problems solved by technology

[0004] The technical problem of the present invention is: to overcome the deficiencies of the prior art, a kind of auxiliary clutter sample screening method based on sub-aperture smoothing is proposed, which solves the problem of strong target pollution and partial inclusion with a signal-to-noise ratio higher than 20dB in actual engineering The problem of output signal-to-noise ratio decrease caused by the pollution of micro-movement targets such as spin, precession and nutation

Method used

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  • Subaperture smoothness-based auxiliary clutter sample selection method
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  • Subaperture smoothness-based auxiliary clutter sample selection method

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Embodiment

[0048] Flow chart as figure 1 As shown, the steps are as follows:

[0049] Step 1 Obtain range pulse pressure-azimuth Doppler data of multiple channels X n (r,m), r∈[1,R], m∈[1,M], r is the number of distance gates, and m is the number of Doppler units.

[0050] Step 2 Use the ultra-low sidelobe windowing matrix to perform sub-aperture smoothing on the collected multi-channel data to obtain the P group of sub-aperture sliding window data X p (r,m), as follows:

[0051]

[0052] Among them, p represents the p-th group of sliding window data, d is the distance between the array elements, and λ is the signal wavelength of the signal transmitted by the space-based radar or airborne radar. β is the weighting coefficient corresponding to the ultra-low side lobe window, considering the main lobe loss, main lobe widening, first side lobe level, peak side lobe, integrated side lobe ratio index to determine the window function type and input parameters of this type, select 5 Sidelobe, -45dB...

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Abstract

The present invention discloses a subaperture smoothness-based auxiliary clutter sample selection method. An ultra-low sidelobe subaperture sliding window method is used to significantly improve an SCNR of a sidelobe region, and a fitting variance deviation method is used for extracting energy of a target large signal, and the energy is removed, so as to improve purity of an initial clutter covariance matrix. In addition, a subaperture smoothness method can be used for significantly improving an output SCNR of a small target, and an algorithm such as GIP is used for removing a clutter sample containing the small target, so as to improve an output SCNR of a weak discrete distribution detection point containing targets such as a micro device, thereby providing a possibility for subsequent object identification based on detection output. A problem is overcome that an initial covariance matrix contains a target signal and target information cannot be removed in an existing inhomogeneous clutter sample selection method, system algorithm complexity can be significantly reduced, and system application performance is improved.

Description

Technical field [0001] The invention relates to an auxiliary clutter sample screening method based on sub-aperture smoothing, which belongs to the field of radar technology, in particular to an adaptive non-uniform / target-contaminated clutter sample removal technology, which is suitable for signal clutter and noise above 30dB in actual engineering The situation of adaptive non-uniform / target-contaminated clutter sample rejection in a relatively strong clutter background. Background technique [0002] The basic idea of ​​training sample selection is to select training samples with similar clutter statistics in a given set of training samples to estimate the clutter covariance matrix and use it to calculate the STAP filter weight vector. Traditional methods mainly include: Sample Matrix Inversion (SMI) method, which directly performs STAP on the original sample set, and then removes samples with larger residual power. The inner product rule mainly groups samples according to the p...

Claims

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Application Information

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IPC IPC(8): G01S7/292G01S7/28
CPCG01S7/2813G01S7/2923G01S7/2927
Inventor 朱江段崇棣李渝王伟伟范一飞杨晓超黎薇萍李奇
Owner XIAN INSTITUE OF SPACE RADIO TECH
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