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Robust adaptive detection method and system for extended target

An adaptive detection and extended target technology, which is applied in the field of robust adaptive detection of extended targets, can solve problems such as poor detection performance and complicated process, achieve good clutter suppression ability, simplify the detection process, and improve the detection probability

Active Publication Date: 2021-06-25
AIR FORCE EARLY WARNING ACADEMY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In order to overcome the problems of complex process and poor detection performance of the existing detection technology, the present invention provides an extended target robust adaptive detection method and system, which includes:

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  • Robust adaptive detection method and system for extended target
  • Robust adaptive detection method and system for extended target
  • Robust adaptive detection method and system for extended target

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Embodiment Construction

[0057]In order to make the objects and advantages of the present invention clearer, the present invention will be further described below in conjunction with the examples; it should be understood that the specific examples described here are only for explaining the present invention, and are not intended to limit the present invention.

[0058] Preferred embodiments of the present invention are described below with reference to the accompanying drawings. Those skilled in the art should understand that these embodiments are only used to explain the technical principle of the present invention, and are not intended to limit the protection scope of the present invention.

[0059] see figure 1 As shown, it is a schematic flow chart of the extended target robust adaptive detection method provided in this embodiment. The extended target robust adaptive detection method in this embodiment includes:

[0060] Step 1: using the target information of the unit to be detected to construct...

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Abstract

The invention relates to a robust adaptive detection method and system for an extended target, and the method comprises the steps: constructing a signal matrix through the target information of a to-be-detected unit, constructing a sampling covariance matrix through a training sample, and carrying out the quasi-whitening of to-be-detected data and the signal matrix through the sampling covariance matrix, and finally, comparing the detection statistical magnitude with the detection threshold, if the detection statistical magnitude is lower than the detection threshold, judging that the target does not exist, and if the detection statistical magnitude is greater than or equal to the detection threshold, judging that the target exists, and if the detection statistical magnitude is greater than or equal to the detection threshold, judging that the target exists. The detector designed by the invention has a robust detection characteristic for the target, is an integrated detection method, and can realize efficient target detection without independent filtering and constant false alarm processing steps.

Description

technical field [0001] The invention relates to the technical field of signal detection, in particular to an extended target robust adaptive detection method and system. Background technique [0002] Regardless of the development of radar technology, object detection has always been one of the main functions of radar. On the one hand, with the improvement of radar resolution, radar targets often show an expansion characteristic; on the other hand, the traditional target detection technology adopts a "step-by-step cascading" strategy, which first uses filtering technology to filter out clutter and retain signal components, and then Target detection is then realized by specific constant false alarm processing. However, the step-by-step cascading method not only has a complicated processing flow, but also cannot guarantee optimal detection performance. [0003] Based on the idea of ​​self-adaptive detection, this application jointly uses the data to be detected and training s...

Claims

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Application Information

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IPC IPC(8): G01S13/04G01S7/41
CPCG01S13/04G01S7/417
Inventor 刘维建李槟槟周必雷杜庆磊陈辉王永良
Owner AIR FORCE EARLY WARNING ACADEMY
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