Space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance

A minimum variance and iterative weighting technique, applied in the radar field, can solve problems such as loss of system degrees of freedom and insufficient accuracy of space-time two-dimensional clutter spectrum estimation

Active Publication Date: 2015-09-02
XIDIAN UNIV
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to propose a non-parametric, no need for training sample support, high estimation accuracy, and automatic convergence for the problems of loss of system degrees of freedom and insufficient estimation accuracy of space-time two-dimensional clutter spectrum in the prior art. Space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance

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  • Space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance
  • Space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance
  • Space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance

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Embodiment 1

[0038] The invention is a space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance, which can be used for estimating the space-time two-dimensional clutter spectrum in the non-uniform environment of airborne radar. In this example, the radar works in down-looking mode, the radar transmits signals in the L-band, the wavelength is 0.2m, the range sampling frequency used by the radar is 1MHz, the pulse repetition frequency is 400Hz, the radius of curvature of the earth is 6378km, and the height of the carrier aircraft is 8km. The carrier speed is 80m / s, the number of pulses is 22, the number of antenna receiving channels is 11, the array element spacing is 0.5 times the wavelength, the angle α between the antenna axis and the carrier speed direction is -90°, the main beam pointing and The included angle ψ of the antenna axis is 60°, and the elevation angle of the main beam is 0°. The noise-to-noise ratio is 40dB, and the signal-...

Embodiment 2

[0063] The space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance is the same as that in Embodiment 1. The performance of the space-time two-dimensional clutter spectrum estimation method of the present invention will be further described through simulation experiments below.

[0064] 1. Simulation parameters

[0065] In this experiment, the range sampling frequency f used by the radar is s 1MHz, wavelength λ is 0.2m, pulse repetition frequency f r is 400Hz, the radius of curvature of the earth R is 6378km, the altitude H of the carrier aircraft is 8km, the velocity V of the carrier aircraft is 80m / s, the number of pulses P is 22, the number of antenna receiving channels is 11, and the distance between the array elements is 0.5 times the wavelength, satisfying d / λ≤0.5, there will be no grating lobes in the antenna pattern, the CNR is 40dB, the angle α between the antenna axis and the aircraft speed direction is -90°, and the...

Embodiment 3

[0069] The space-time two-dimensional clutter spectrum estimation method based on the iterative weighted minimum variance is the same as that in Embodiment 1, and the simulation conditions are the same as in Embodiment 2.

[0070] In order to further illustrate the advantages of the present invention, Figure 4 The one-dimensional power spectrum comparison curves of the present invention and the traditional IAA method at the spatial frequency of the target are given. from Figure 4 It can be seen from the figure that the estimation result of the traditional IAA spectrum estimation method to the clutter ridge is relatively poor, and the clutter ridge is obviously broadened, while the clutter spectrum estimated by the present invention is very narrow, and the estimation result of the present invention to the clutter ridge is obviously better than traditional method.

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Abstract

The invention discloses a space-time two-dimensional clutter spectrum estimation method based on iterative weighted minimum variance. The method comprises the following steps: first, taking out echo data of a distance unit to be detected, after pulse compression, received by a radar, and utilizing the space-time structure of the data to construct a plurality of snapshots; then, using the space-time two-dimensional spectrum estimation method based on the iterative weighted minimum variance to estimate the space-time two-dimensional spectrum of clutters; finally, setting a stopping criterion according to the sparsity of the clutters and targets distributed on a space-time plane, and iteration can automatically stop. The method utilizes the space-time structure of the data of the unit to be detected to construct the snapshots, the estimated variance of the spectrum is effectively reduced, and the estimated accuracy of the clutter spectrum is high. The method utilizes the sparsity of the clutters and the targets distributed on the space-time two-dimensional plane to design the automatic stopping criterion of iteration, which can automatically converge. The method does not need airspace subaperture smoothness, does not have space-time aperture loss, and is not limited by an antenna structure. The method can be used for estimating the space-time two-dimensional clutter spectrum of an airborne radar at a non-homogeneous environment.

Description

technical field [0001] The invention belongs to the technical field of radar, and relates to a method for estimating the space-time two-dimensional clutter spectrum of an airborne radar, which estimates the space-time two-dimensional clutter spectrum of a range unit to be detected, specifically a space-time two-dimensional clutter spectrum based on iteratively weighted minimum variance A spectral estimation method for estimating the space-time two-dimensional clutter spectrum in an airborne radar inhomogeneous environment. Background technique [0002] With the rapid development of information science and technology, national defense has entered the information age. As the key equipment to win the modern information war, the airborne early warning radar is regarded by the militaries of various countries as a sharp weapon for information acquisition that can influence the battlefield situation due to its unique strategic characteristics. The clutter suppression performance i...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
Inventor 王彤文才李永康吴建新刘保昌
Owner XIDIAN UNIV
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