Method of implementing mobile separated management of compression radio frequency tomography

Abstract

The invention provides a method of implementing the mobile separated management of a compression radio frequency tomography. The method has the advantages of small redundancy, flexibility, high sensing efficiency and scale zooming, and can be used for observing various particles. The method is implemented based on mobile platform. The method of implanting the mobile separated management of the compression radio frequency tomography includes the following steps, step 1 is to arrange a mobile platform with a radio frequency sending and receiving device at the sensing area, step 2 is to image coarsely on the whole area and to position a region of interest, step 3 is to imagine finely on the part area of the region of interest, and step 4 is to obtain the resultant image by synthesizing the coarseness imagine of the whole and the fine-grained imagine of the part. The method of implementing the mobile separated management of the compression radio frequency tomography is achieved with the cooperative sensing of a mobile robot.

Description

technical field [0001] The invention relates to the field of radio frequency tomography, in particular to measurement and realization technology of compressed radio frequency tomography. Background technique [0002] Radio frequency tomography is an environmental perception method that uses radio frequency signals to realize projection measurement, reconstructs environmental shadow fading images from radio frequency link shadow fading information, and then realizes target hands-free positioning and through-wall perspective imaging. With the help of the non-intrusive sensing mode provided by radio frequency signals, which is not affected by illumination changes and obstacles, radio frequency tomography has advantages that other sensing technologies cannot achieve in indoor or concealed object detection, positioning and tracking. Alternative advantage. Deep mining and extensive utilization of the advantages and potential of radiofrequency tomography is becoming a research hot...

AI Technical Summary

Problems solved by technology

In the absence of prior knowledge, relying on random selection of links can conditionally guarantee the reconstruction of the target image, but it will inevitably produce a large number of redundant and invalid radio frequency links, greatly reducing the sensing efficiency

In addition, the coverage space scale and observation granularity of wireless sensor networks are fixed, it is difficult to meet the requirements of scale scaling and granularity diversification, and there are considerable limitations in usability.

Images