Method for optimizing radar weak target detection based on constant side length gradient weighting graph cut

A detection method and technology for weak targets, applied in radio wave measurement systems, instruments, etc., can solve the problems of unsatisfactory radar weak target detection results, and achieve the effect of optimizing and detecting results and improving detection results.

Inactive Publication Date: 2013-11-06
HANGZHOU DIANZI UNIV
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Problems solved by technology

However, for the sake of convenience in this technology, the weights of the connection edges in the graph model are set to constant

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  • Method for optimizing radar weak target detection based on constant side length gradient weighting graph cut
  • Method for optimizing radar weak target detection based on constant side length gradient weighting graph cut
  • Method for optimizing radar weak target detection based on constant side length gradient weighting graph cut

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[0075] The implementation flowchart of the present invention is figure 1 As shown, the specific implementation steps are as follows:

[0076] Step 1. Model parameter initialization: Select the number of Gaussian background models , and set the initial parameter value of the background model: weight , mean and variance , ( ); set the observation noise of the prediction model and system noise .

[0077] Step 2. Capture video stream data information containing radar weak targets through coherent accumulation and non-coherent accumulation, and perform binarization processing on the obtained data information to obtain a size of The pixel point matrix, is the matrix width, is the matrix height.

[0078] Step 3. According to the controllable kernel gradient solution method, solve the gradient value of each adjacent pixel for the pixel point matrix obtained in step 2, denoted as ,in .

[0079] Step 4. According to the energy function, a binarized energy gr...

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Abstract

The invention discloses a method for optimizing radar weak target detection based on a constant side length gradient weighting graph cut algorithm. The method comprises the specific steps that first, short-term unrelated accumulation is conducted on a distance-Doppler sequence after coherent integration; then a target model and a clutter model are used for conducting global optimization target detection on a distance-Doppler video frame based on the constant side length gradient weighting graph cut algorithm under a mixed Gaussian framework, and a target video sequence is obtained; the video frame is judged to be the last frame or not, if yes, detection is completed, if no, a kalman predication method is used for conducting target feature detection on the target video sequence and following and completing target model updating, and a mixed Gaussian updating model algorithm is used for achieving updating of a background model; at last, a just captured next frame video information is read, and the above steps are repeated until all the captured video information is detected. The method for optimizing the radar weak target detection based on the constant side length gradient weighting graph cut algorithm optimizes and improves the detecting results relative to radar weak targets.

Description

technical field [0001] The invention belongs to the technical field of signal processing in radar systems, and in particular relates to an optimized radar weak target detection method based on a gradient weighted graph cut algorithm with constant side length. Background technique [0002] In the field of signal processing technology in radar systems, a globally optimized weak target detection method based on graph cuts has recently been proposed. Energy modeling is carried out on the accumulated data, and a flow grid diagram is constructed. Combined with the graph cut criterion of maximum flow and minimum cut in graph cut, cutting is realized by optimizing the distribution of energy flow, and then the detection of weak radar targets is realized. However, for the sake of convenience in this technology, the weights of the connection edges in the graph model are set to constant values , so that when the influence of edge noise and clutter is large, the result of weak target d...

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Application Information

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IPC IPC(8): G01S7/41
Inventor 郭春生刘丹董秀青郭云飞
Owner HANGZHOU DIANZI UNIV
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