A Distributed Object Location Estimation Method Against Suspicious Data

A target location, distributed technology, applied in the field of communication, to achieve the effect of increased computing overhead, fewer iterations, and easy operation

Active Publication Date: 2019-11-15
ZHEJIANG UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to provide a distributed target position estimation method against suspicious data for the problem that observation noise, quantization noise, channel error, and malicious sensor artificial error data affect the performance of distributed target position estimation

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 Distributed Object Location Estimation Method Against Suspicious Data
  • A Distributed Object Location Estimation Method Against Suspicious Data
  • A Distributed Object Location Estimation Method Against Suspicious Data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The present invention will be described in further detail below with reference to the accompanying drawings and examples.

[0041] This example works in a wireless sensor network, such as figure 1 As shown, N sensors are deployed (in this example, the area where sensors are deployed is a square area of ​​200×200, N=100, and N is usually used to make the sensors densely distributed in the area), of which k are malicious sensors (in this example k=10). target such as figure 1 Shown by the five-pointed star.

[0042] Such as figure 2 As shown, this example is implemented through the following steps:

[0043] Step 1. The sensor perceives the target signal, quantifies the perceived target signal, and then sends the processed data to the fusion center; the specific process is as follows:

[0044] (1) The sensor perceives the target signal to obtain the local perception signal:

[0045] Such as figure 1 As shown, N sensors perceive the target signal to obtain the local...

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 distributed target location estimation method against suspicious data. The conventional method has the defects of large calculation expenses and a longer estimation process, so that the pertinence to actual application scenarios is lower. In the method, four non-ideal factors, i.e., observation noises, quantization noises, human error data and channel errors, are comprehensively considered, primary reporting data is used, iteration is carried out for multiple times to remove the suspicious data, and a target location is estimated only through remaining data. The method is characterized in that sensors firstly sense target signals, and send data, which is obtained through quantization processing of the target signals, to a fusion center; the fusion center then receives the primary measurement reporting data from the N sensors in a network, iteratively estimates the target location, and removes the suspicious data; and a target location estimation result is finally obtained. The method provided by the invention has the advantages that only the primary observation data is used, the operation is simpler, and the iteration times are few, so that convergence can be rapidly achieved.

Description

technical field [0001] The invention belongs to the field of communication technology, in particular to the field of distributed target position estimation in signal processing, and relates to a distributed target position estimation method against suspicious data. Background technique [0002] Distributed target location estimation is an important application of wireless sensor networks. A typical estimation process is that the network sensor perceives the relevant information of the target (such as the amplitude information of the signal sent by the target), and the sensor performs simple processing on the perceived information (that is, quantization processing), and sends the processed data to the Fusion center; after the fusion center receives the data sent by these sensors, it uses some estimation method to estimate the target position. [0003] There are four shortcomings in the above distributed target position estimation: First, the target signal perceived by the se...

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): H04W64/00H04W84/18
CPCH04W64/00H04W84/18
Inventor 陈惠芳谢磊沈丛麒
Owner ZHEJIANG UNIV
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