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Sea-surface small target detection method based on front-back revenue reference particle filter

A technology of small target detection and particle filtering, applied in the field of signal processing, can solve the problems of difficult to meet the real-time processing of radar and large amount of calculation, and achieve the effect of improving detection performance and accurate estimation

Active Publication Date: 2017-04-19
XIDIAN UNIV
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Problems solved by technology

Proposed in the document "Hu, J., Tung, W.W. and Gao, J.B.: Detection of low observable targets within sea clutter by structure function based multifractal analysis, IEEE Trans. Antennas Propag., 54(1):136-143, 2006." The detection method based on the fractal characteristics of the sea surface can effectively detect the target when the observation time is long. However, the observation time required by this method to obtain good detection performance is generally more than 4 seconds. Radar usually cannot detect a single wave position for such a long time. resident observations, so the fractal-based detection method is difficult to be extended to practical applications
Literature P.L.Shui, D.C.Li and S.W.Xu, "Tri-feature-based detection of floating small targets in sea clutter," IEEE Trans.Aerosp.Electron.Syst., vol.50, no.2, pp.1416–1430, Apr. .2014. A detection method based on three features was proposed, which obtained better target detection performance under the measured data. However, this method has a large amount of calculation and is difficult to meet the requirements of radar real-time processing.
Literature "P.L.Shui, S.N.Shi, J.Lu, and X.W.Jiang, "Detection of nonlinear FM signals via forward-backward cost-reference particle filter," Digital Signal Process., vol.48, pp.104–115, 2016. In ", the piecewise linear frequency modulation model is used to approximate the nonlinear instantaneous frequency curve, and the parameters of the target echo are estimated from the noise in combination with the cost reference particle filter, so as to realize the detection of low-speed small targets in the noise background. However, when the low-speed floating small targets are in the sea This detection method is no longer applicable in the background of clutter

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Embodiment Construction

[0027] The present invention will be further described below in conjunction with accompanying drawing:

[0028] refer to figure 1 , the implementation steps of the present invention are as follows:

[0029] Step 1, obtain echo data.

[0030] The radar transmitter is used to transmit continuous pulse signals, and the pulse signals are irradiated on the surface of the object to generate echoes. The radar receiver receives the echo data X, and the echo data is a matrix of U×M dimensions. U represents the accumulated pulse number of the echo data. M represents the number of range units of the echo data.

[0031] Step 2, processing the echo data in blocks.

[0032] The echo data X is equally divided into A N×M dimensional echo data blocks along the pulse dimension, where N represents the pulse number of each echo data block, and the A echo data blocks are respectively expressed as: X 1 ,X 2 ...,X a ,...,X A , X a Indicates the a-th echo data block, where the values ​​of a=1...

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Abstract

The present invention discloses a sea-surface small target detection method based on front-back revenue reference particle filter which mainly solves the problem that a conventional technology is not suitable for detecting the sea-surface low-speed floating small targets. The method comprises the realization steps of 1) obtaining and partitioning the echo data; 2) selecting a to-be-detected distance unit Sd in an echo data block and dividing the to-be-detected distance unit Sd into the to-be-detected sub-units; 3) calculating the instantaneous frequency curve function estimation of the to-be-detected distance unit Sd; 4) calculating a Doppler steering vector h and the covariance matrix estimation of the k-th to-be-detected sub-unit zk; 5) utilizing the h and the covariance matrix estimation to calculate the generalized likelihood ratio test statistic amount of the sub-unit zk; 6) accumulating the generalized likelihood ratio test statistic amount of all to-be-detected sub-units to obtain the test statistic amount xi k of the to-be-detected distance unit Sd; 7) calculating a detection threshold T xi; 8) comparing the xi k and the T xi to determine the existence of the targets. The sea-surface small target detection method of the present invention enables the radar detection performance to be improved, and can be used to detect the sea-surface floating small targets.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a small target detection method on the sea surface, which can be used for identifying and tracking small targets floating at low speed on the sea surface. Background technique [0002] When radar detects targets on the sea surface, it will be affected by sea clutter. The strength of sea clutter varies with radar parameters, sea conditions, etc. With the improvement of radar resolution, sea clutter presents strong non-Gaussian characteristics. A large number of researches have continuously improved the statistical model of sea clutter, and many adaptive detection methods have been proposed on this basis. This type of detection method models the sea clutter as a composite Gaussian model, which is the product of the texture component and the speckle component of the sea clutter. In the background of high-resolution sea clutter whose texture components obey th...

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Application Information

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IPC IPC(8): G01S7/41
CPCG01S7/411
Inventor 水鹏朗杨春娇施赛楠
Owner XIDIAN UNIV
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