Estimation method of degradation function applied to radio tomography imaging system

Abstract

The invention discloses an estimation method of a degradation function applied to a radio tomography imaging system, and belongs to the field of image processing in a wireless network. The radio tomography imaging process is enabled to be a linear image degradation process, problems of target imaging blurring and dilation effect of the radio tomography imaging system can be solved by employing an image restoration method with the combination of the constraint least squares method criterion, and clear "original" images can be obtained. According to the method, a function convolution process is converted to a matrix multiplying form, and the relation between a convolution transformation matrix of the degradation function and a linear solution of the radio tomography imaging system is derived; and a mapping relation between the degradation function and the convolution transformation matrix is obtained through a matrix transformation theory, and the degradation function is estimated through establishment of a Gaussian mixture model. The method is applied to the radio tomography imaging system, the dilation effect of target imaging is effectively reduced, the imaging precision of the radio tomography imaging system is improved, and the method can be applied to the practical environment.

Description

technical field [0001] The invention relates to a method for estimating a degradation function based on a wireless tomography system, which is applied in the image restoration process of the wireless tomography system and belongs to the field of image processing in wireless networks. Background technique [0002] Wireless tomography (RTI) is a passive positioning technology used to locate targets in the wireless sensor network area. The signal fading strength at each position is obtained to obtain the signal attenuation map in the area, and then obtain all the position information of the target. In recent years, with the increasing demand for location services in various fields, the research on wireless positioning technology has become more and more active. As a new passive positioning technology, RTI technology has aroused interest in many fields, and has achieved a lot of research results. The shadow attenuation-based RTI method (SRTI) was first proposed by Wilson and P...

AI Technical Summary

Problems solved by technology

[0013] However, in the above RTI method, due to the problems of mutual interference in the wireless communication link and the limited number of measurement links, the accuracy of the obtained target fading image is not high, and the imaged image is an expanded image area of ​​the target. Imaging results do not provide enough detail to identify the desired target

This inflation effect is caused by limited wireless communication links, however when increasing links, the time for wireless sensor nodes and scanning all communication links will increase, and the interference between sensor nodes will also increase, which will also degrade imaging the accuracy of

Images