An Active Sensor Management Method Based on Risk Theory

A sensor and risk technology, applied in the field of sensor management, can solve the problems of not considering the influence of multi-sensor allocation, unfavorable real-time information processing, low efficiency of objective function solution, etc., to achieve the effect of improving solution efficiency

Active Publication Date: 2022-07-19
HENAN UNIVERSITY
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The sensor management method based on information theory is widely used. In the article "Sensor Control Method Based on Information Entropy Measurement in Multi-Target Tracking", Chen Hui and others established the performance function of sensor management through information entropy, and constructed the performance function of sensor management by using the performance function. The basic framework, although this method has good technical indicators, but in order to consider the actual combat needs; Zhang Hongbin and others used fuzzy reasoning and neural network sensor management method The single platform has been extended to multiple platforms, and at the same time, the effective allocation between the sensor and the target has been realized. Although this method can achieve a good estimation of the target state, the efficiency of solving the target function is low, which is not conducive to the real-time information processing in the battlefield environment. In the article "Airborne Multi-Sensor Resource Allocation Model Based on Linear Programming", Gong Hua et al. used the sensor management method based on linear programming to establish a management model and optimize the objective function through the sensor performance function and matching function matrix. The solution problem of multi-sensor allocation, but this method does not consider the impact of various external environmental risks and sensor radiation on multi-sensor allocation

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
  • An Active Sensor Management Method Based on Risk Theory
  • An Active Sensor Management Method Based on Risk Theory
  • An Active Sensor Management Method Based on Risk Theory

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art under the premise of not paying creative efforts shall fall within the protection scope of the present invention.

[0082] like figure 1 As shown, the present invention includes the following steps:

[0083] Step 1: Parameter setting, as follows:

[0084] Sensor radiation risk factor θ 1 , the sensor tracking error influence factor θ 2 , the sensor tracking error threshold Q T , the control period t c , the measurement noise covariance R, the number of sensors n, the number of targets m, the maximum simulation duration...

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 an active sensor management method based on risk theory, comprising the following steps: firstly, establishing a target risk model by using the risk theory; then, a calculation method of sensor radiation risk and sensor tracking error is given to quantify potential losses; The objective function is established with the minimum weighted sum of the two risks as the optimization objective. In order to obtain better combat benefits and improve the efficiency of solving the objective function, the convex optimization toolkit is used to solve the objective function. The invention uses the risk theory to build a model, builds the objective function according to the sensor radiation risk and the sensor tracking error, and uses the convex optimization theory to optimize and solve the objective function to obtain the optimal solution of the objective function, thereby improving the solving efficiency of the objective function.

Description

technical field [0001] The invention relates to the technical field of sensor management, in particular to an active sensor management method based on risk theory. Background technique [0002] At present, modern warfare has transformed from a traditional battlefield to an information battlefield, and the battlefield situation plays a crucial role in national defense and security. The types of information obtained by different types of sensors are complex. How to quickly select a suitable sensor and accurately obtain target measurement information is very important for battlefield evaluation. Therefore, the sensor management method is born. Sensor management aims to reasonably allocate limited sensor resources to complete the task of detecting, tracking and identifying targets. [0003] At present, in order to reasonably realize sensor management, researchers have successively proposed a variety of effective methods and technologies. The sensor management method based on i...

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): G06F30/20G06F119/02
CPCG06F30/20G06F2119/02
Inventor 周林孙辰辰张路李军伟刘樾毋嘉伟
Owner HENAN UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products