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

A Weak Target Detection and Tracking Method

A weak target detection and target technology, applied in the direction of measuring devices, radio wave measurement systems, instruments, etc., can solve the problems of energy diffusion, without limiting the range of energy accumulation, without considering the weight, etc., to improve accuracy and solve energy diffusion problem effect

Active Publication Date: 2022-05-20
HOHAI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Although the tracking-before-detection algorithm based on dynamic programming can greatly reduce the amount of calculation compared with the exhaustive method, since the traditional dynamic programming algorithm neither limits the range of energy accumulation nor considers the weight, this method will have serious energy problems. Diffusion problem, which leads to more false tracks

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
  • A Weak Target Detection and Tracking Method
  • A Weak Target Detection and Tracking Method
  • A Weak Target Detection and Tracking Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0071] The present invention will be further described below. The following examples are only used to illustrate the technical solution of the present invention more clearly, but not to limit the protection scope of the present invention.

[0072] A weak target detection and tracking method, comprising the steps of:

[0073] (1) The echo signal contains N 2 resolution units, record the measurement value of each resolution unit as z ij (k), the measured values ​​of all resolution units at time k form a matrix, which is recorded as:

[0074] Z(k)={z ij (k)}

(1)

[0075] Among them, 0≤i, j≤N, z ij (k) is the measured value in the resolution unit (i, j), which can be expressed as:

[0076]

[0077] Among them, s ij (k) represents the target echo signal, n ij (k) represents a random noise signal. Here it is assumed that the noise signal obeys the standard normal distribution, and for different time k, the random noise signal n ij (k) Independent and identically distr...

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 discloses a weak target detection and tracking method. The weak target detection and tracking method based on weighted dynamic programming and Kalman filtering uses multi-frame data obtained by sensors to accumulate energy using a dynamic programming algorithm, and selects the path with the largest energy. As a predicted track, it solves the huge calculation problem caused by the exhaustive method. When energy accumulation is carried out, the weighting function is used for weighting processing, and the zero point position of the weighting function is determined in combination with the predicted value given by the Kalman filter. The dynamic programming algorithm after weighting function and Kalman filtering can effectively solve the problem of energy diffusion in the traditional dynamic programming algorithm, thereby improving the accuracy of track establishment.

Description

technical field [0001] The invention relates to a weak target detection and tracking method, belonging to the technical field of target detection and target tracking. Background technique [0002] The tracking-before-detection algorithm is mainly an algorithm proposed to solve the detection and tracking of weak targets in the background of clutter. The algorithm uses multiple scans of the sensor to obtain data containing noise and targets, and jointly processes them to make full use of multiple sets of data, thereby realizing the detection and tracking of weak targets. In order to realize the track-before-detection algorithm, many methods have been proposed, such as track-before-detection algorithm based on particle filter, track-before-detect algorithm based on dynamic programming, track-before-detect algorithm based on Hough transform, etc. [0003] The tracking-before-detection algorithm based on dynamic programming is an optimization algorithm of the exhaustive method, ...

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): G01S7/41G01S13/00G01S13/66
CPCG01S7/418G01S7/415G01S7/414G01S13/006G01S13/66
Inventor 胡居荣祝怡翔周寒瑜陆龙
Owner HOHAI UNIV