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A Target Detection Method Based on Double Deletion Threshold

A target detection and threshold technology, used in radio wave measurement systems, instruments, etc., can solve the problems of low detection rate, high missed detection rate and false alarm rate, reduce the missed alarm rate, stabilize the detection performance, and improve the target detection rate. Effect

Active Publication Date: 2020-03-27
ANHUI POLYTECHNIC UNIV
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Problems solved by technology

[0008] In order to solve the technical problems that the existing detection method has low detection rate, high missed detection rate and false alarm rate, and depends on prior knowledge when determining the maximum and minimum value power rejection thresholds, the present invention provides a method based on dual Object Detection Method with Removal Threshold

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  • A Target Detection Method Based on Double Deletion Threshold
  • A Target Detection Method Based on Double Deletion Threshold
  • A Target Detection Method Based on Double Deletion Threshold

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[0044] Exemplary embodiments of the present invention will be described in detail below with reference to the accompanying drawings. The description of the exemplary embodiments is for the purpose of illustration only, and in no way limits the invention and its application or usage.

[0045] In one embodiment of the present invention, see figure 1 , the present invention provides a kind of radar target detection method, in this detection method, as shown in the figure, wherein I and Q are the radar echo signal, obtain the detection envelope sequence after the detector and be the input signal, x0 is the test unit, x1, x2, x3,...xN are reference window reference unit sequences extracted from the envelope sequence input signal, and N is the size of the reference window. v(xi) is the membership function, v(x1), v(x2)...v(xN) is the value of the membership function of the reference unit. tcl is the maximum value elimination threshold, tcs is the minimum value elimination threshold,...

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Abstract

The invention provides a double-deletion threshold-based target detection method. According to the method, firstly, on the basis that a maximum rejection threshold value and a minimum rejection threshold value are set, the subordinative function value of a sample reference unit is introduced. Secondly, the subordinative function value is compared with the maximum value and the minimum value, and then a corresponding binary weighted value of the sample reference unit is obtained. Thirdly, an average value is taken to obtain a background noise power estimation value. Fourthly, the background noise power estimation value is multiplied by a scaling coefficient to obtain an optimal power detection threshold value. Finally, the power of a test unit is compared with the power detection threshold value. If the power of the test unit is larger than or equal to the power detection threshold value, a target is judged to exist. Otherwise, no target is judged to exist. The method solves the technical problems in the prior art that an existing detection method is small in detection rate and high in leakage detection rate and false alarm rate, and the determination of maximum and minimum rejection threshold values must be dependent on the priori knowledge. Meanwhile, the method is high in rejection performance, high in target detection rate, and small in leakage detection rate.

Description

technical field [0001] The invention belongs to the technical field of radar target detection, and in particular relates to a target detection method based on double deletion thresholds. Background technique [0002] The technical background related to the present invention will be described below, but these descriptions do not necessarily constitute the prior art of the present invention. [0003] With the rapid development of smart car technology, the target detection technology required for environmental perception, as the key technology of the environmental perception system, has been widely used in static and dynamic target detection that can reflect microwave signals such as pedestrians, vehicles, road signs, and road signs. Mainstream detection technologies include sensor detection technologies such as millimeter-wave radar, lidar, and vision. Microwave radar technology has been widely used due to its advantages of all-weather and low cost. Most of the current micro...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/292G01S7/35
CPCG01S7/2927G01S7/354
Inventor 刘贵如修宇汪军刘志军邹姗
Owner ANHUI POLYTECHNIC UNIV
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