Rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting

A detection method and center point technology, applied in the field of radar, to achieve the effect of saving comparator resources, improving detection efficiency, and good real-time performance

Pending Publication Date: 2022-05-27
HEFEI UNIV OF TECH
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[0005] The present invention proposes a robust control method for intelligent networked queues that can solve the problems existing in the intelligent networked queue control method in the expressway lane change scene and ensure safety

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  • Rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting
  • Rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting
  • Rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting

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Embodiment Construction

[0049] The technical solutions of the present invention will be described in more detail below with reference to the accompanying drawings. The present invention includes but is not limited to the following embodiments.

[0050] Considering the hardware resource consumption and detection real-time problems, the present invention designs a size-variable two-dimensional rectangular window OS-CFAR detector implementation method and circuit that utilizes center point sorting to reduce hardware circuit resource cost. The circuit is composed of a data organization module, a center point sorting module and a pulsating binary accumulation and summation module, which can realize the dynamic configuration of the reference window (N) and the protection window (M), and satisfy min{R,D for the RDM matrix of R×D size } Less than or equal to the FIFO depth in the data organization module can be compatible to realize the rectangular window OS-CFAR detection.

[0051] In view of the situation ...

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Abstract

The invention provides a rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting, and the method comprises the steps: S1, setting a detection window on the basis of a two-dimensional distance Doppler power matrix, and obtaining a column vector in the detection window; s2, performing edge filling on the edge data; s3, generating an ascending order center point sequence by using the current center to-be-detected unit data and the adjacent center to-be-detected unit data detected for multiple times; s4, performing dichotomy insertion comparison on the column vector and the ordered center point sequence to generate a column binary accumulation partial sum of the current column; s5, obtaining the binary accumulation sum of the current window, and judging whether a target exists in a corresponding point of the detection window in the two-dimensional distance Doppler power matrix; and S6, obtaining all detection results of the two-dimensional distance Doppler power matrix, and solving the radial speed and distance of the target. According to the invention, the dynamic configuration of the detection window can be realized, the detection of RDM matrixes of various sizes can be realized, and the method can adapt to wide application scenes and requirements.

Description

technical field [0001] The invention relates to the technical field of radar, in particular to a rectangular window variable two-dimensional OS-CFAR detection device and method using center point sorting. Background technique [0002] In the process of radar signal processing, the clutter signal is the most important reason that affects the detection result, and the constant false alarm (CFAR, Constant False Alarm Rate) technology, as an important part of radar signal processing, can prevent the false alarm of the radar when the clutter environment changes. The alarm probability changes too much, and at the same time, a certain detection probability is guaranteed, and the moving target echoes of interest are detected in the complex clutter environment. [0003] The radar target constant false alarm detection mainly includes mean value CFAR and ordered statistical CFAR. Compared with the unit average constant false alarm (CA-CFAR), the ordered statistical constant false alarm...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01S7/41G06F5/06G06F7/24
CPCG01S7/414G06F5/065G06F7/24Y02A90/10
Inventor 张多利陶相颖曾树铭宋宇鲲倪伟
Owner HEFEI UNIV OF TECH
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