Moving target detection method based on clutter pre-classification

A moving target and detection method technology, applied in the fields of signal processing and communication, can solve the problems of poor moving target detection performance and unsatisfactory clutter suppression effect, and achieve the effect of improving the moving target detection performance and accurately estimating the covariance matrix.

Active Publication Date: 2021-11-30
XIDIAN UNIV +1
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Problems solved by technology

[0005] The purpose of the present invention is to address the deficiencies of the above-mentioned prior art, and propose a moving target detection method based on clutter pre-classification, aiming at solving the unsatisfactory clutter suppression effect in the environment of inhomogeneous clutter and when the target detection scene changes and the problem of poor detection performance of moving objects

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  • Moving target detection method based on clutter pre-classification
  • Moving target detection method based on clutter pre-classification
  • Moving target detection method based on clutter pre-classification

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Embodiment Construction

[0042] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0043] to combine figure 1 , to further describe the implementation steps of the present invention.

[0044] Step 1, create a training set.

[0045] Select at least 10,000 radar clutter matrices with known amplitude characteristics to form a data set.

[0046] Label each radar clutter matrix in the matrix set, and combine all label files into a label set.

[0047] Combine the dataset and label set into a training set.

[0048] Step 2, preprocessing the training set.

[0049] In the interval [0, 1], a real number is randomly generated for each matrix in the training set.

[0050] For each matrix corresponding to the real value in the interval [0.5, 1], take the center column and center row of the matrix as the axes, and flip the matrix in the horizontal and vertical directions in turn.

[0051] Step 3, set the initial parameters of the residual neu...

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Abstract

The invention discloses a moving target detection method based on clutter pre-classification. The method comprises the following steps: preprocessing an established training set; setting initial parameters of each layer of the residual neural network; generating a to-be-detected vector set and an auxiliary vector set; pre-classifying vectors to be detected in a radar clutter matrix, and respectively calculating covariance matrixes of Rayleigh distribution, Weibull distribution, logarithmic normal distribution and K distribution after pre-classification by adopting a mean value estimation method, a Weibull distribution covariance estimation method and an update covariance estimation method; calculating adaptive detection statistics of the vector to be detected by using the estimated covariance matrix; and determining whether a moving target exists or not according to the detection statistics. According to the method, the moving target detection performance under the non-homogeneous clutter is improved, and the method can be applied to clutter suppression and adaptive moving target detection when an actual complex clutter target detection scene changes.

Description

technical field [0001] The invention belongs to the technical field of communication, and further relates to a moving target detection method based on clutter pre-classification in the technical field of signal processing. The invention can be used for adaptive detection of moving targets in actual complex clutter scenes by radar. Background technique [0002] The moving target detection in the actual complex clutter scene is to carry out signal modeling on the echo data received by the radar, and use signal processing technology to detect the target of interest in the radar working scene. Moving target detection in actual complex clutter scenes is an important part of radar application technology. It can identify targets in satellite positioning and civil aviation control, and provide accurate information for target positioning and tracking. It is very important in military and civilian fields. At present, the moving target detection methods in the actual complex clutter s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06F17/18G06F17/16G01S13/50
CPCG01S13/50G06F17/16G06F17/18G06N3/045G06F2218/12G06F18/241G06F18/214Y02A90/10
Inventor 高永婵张晨叶舟吕宇宙方明潘丽燕左磊毛琳琳
Owner XIDIAN UNIV
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