Unlock instant, AI-driven research and patent intelligence for your innovation.

Calculation Method of Synthetic Very Narrow Pulse Radar Detection Threshold Based on Resampling Algorithm

A very narrow pulse, radar detection technology, applied in the field of target detection, to achieve the effect of improving the calculation speed

Active Publication Date: 2021-06-11
北京理工大学重庆创新中心 +1
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention provides a synthetic extremely narrow pulse radar detection threshold calculation method based on a resampling algorithm to solve the shortcomings of traditional methods that need to store a large number of random numbers and occupy memory, and improve the calculation speed of the detector threshold

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Calculation Method of Synthetic Very Narrow Pulse Radar Detection Threshold Based on Resampling Algorithm
  • Calculation Method of Synthetic Very Narrow Pulse Radar Detection Threshold Based on Resampling Algorithm
  • Calculation Method of Synthetic Very Narrow Pulse Radar Detection Threshold Based on Resampling Algorithm

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0048] In order to solve the problem that the traditional threshold determination method needs to store a large number of random numbers, the memory usage is high, and the calculation speed of the detector threshold is slow, the quantile point interpolation algorithm is used. By setting the quantile points corresponding to the false alarm rate, according to the input test statistics, the interpolation algorithm is called to iteratively update the size of the threshold corresponding to each quantile point, so as to solve the shortcomings of traditional sorting to determine the quantile points that need to store a large number of random numbers and occupy memory.

[0049] By changing the probability distribution of generating random numbers, resampling enables the sampling algorithm to generate more samples that contribute to the calculation of the false alarm rate, further reduces the number of generated samples required to accurately count the false alarm probability, and improv...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention provides a method for calculating the detection threshold of a synthetic extremely narrow pulse radar based on a resampling algorithm. Random samples are generated by resampling, and the thresholds of radar detectors corresponding to multiple false alarm rates are simultaneously determined by using a quantile point interpolation algorithm, so as to solve the traditional The method needs to store a large number of random numbers and occupy memory, and improves the calculation speed of the detector threshold.

Description

technical field [0001] The invention relates to the technical field of target detection, in particular to a method for calculating a detection threshold of a synthetic ultra-narrow pulse radar based on a resampling algorithm. Background technique [0002] In synthetic very narrow pulse radar, the target no longer has the characteristics of an ideal point target, but appears as an extended target containing multiple scattered points. At present, there are radar detection algorithms such as integral detector, MN detector, SSD-GLRT (Spatial Scattering Density-Generalized Likelihood Ratio Test, spatial scattering density generalized likelihood ratio test) detector, sequential detector, etc., but SSD-GLRT, For detectors such as sequential detectors, it is difficult to calculate the detector threshold by analytical methods because the distribution of the test statistics is difficult to obtain. [0003] In order to obtain the threshold of this type of detector, the traditional met...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/41
CPCG01S7/41
Inventor 陈新亮张洪纲盖季妤梁振楠刘泉华龙腾董锡超
Owner 北京理工大学重庆创新中心