Through Wall Imaging Method For Multiple Barriers

Target imaging is an important content in see-through-building radar probe for its wide application in secret surveillance, disaster relief, counter-terrorism and other fields, and it takes a significant role in those fields. The study of multilayer walls is of great practical significance for the complex practical construction environment. In order to get the target information, the target imaging technology is particularly important for multilayer wall building perspective. This thesis is focusing on the imaging method, focusing delay in multi-layer wall, fusion of the human target image, and construction layout. The detail contents are given as below:1. Researched on the back-projection imaging algorithm, and the imaging principle is described by means of the formula. For the low SNR of the back-projection imaging results, cross-correlation back-projection imaging algorithm is studied. There may be a large difference of the echo amplitude between each channel. Based on this fact, an improved back-projection imaging algorithm is proposed by means of normalization of the received echo amplitude of every channel. Then, the improved imaging algorithm and other mentioned algorithms were verified using simulation and measured data. The complexity of the cross-correlation back-projection algorithm was considered.2. In view of the same wall permittivity, the known multilayer wall compensation algorithm based on the same dielectric constant is studied. In the presence of unknown wall, the unknown multilayer wall compensation algorithm based on self-focusing algorithm is studied. In the presence of known wall parameters, known multilayer wall compensation algorithm based on law of refraction is studied. In the presence of non-uniform wall, the known multilayer inhomogeneous wall compensation algorithm based on the integration is proposed with a lot of formulas and charts describing the principle of these algorithms. Finally, above compensation algorithms were respectively verified using the simulation data.3. For the poor imaging quality problems of human body image for single view, the arithmetic fusion algorithm, fuzzy logic fusion algorithm and the two step fuzzy fusion algorithm are studied. Then, the above fusion algorithms are verified through simulation and measured data, respectively. The construction layout signal model and imaging algorithm are studied. To solve the problem of no access to the panorama of construction layout with a single view, MSA fusion algorithm, the fuzzy logic fusion algorithm, the two step fuzzy fusion algorithm and MNK detector fusion algorithm are studied. At last, the above algorithms are verified using the measured data.In this thesis, the technology of see-through-building radar probe for multilayer wall was studied in depth. At the same time, the construction layout imaging technology was studied as well. A lot of formulas and charts are used to analysis these algorithms. The study on the imaging algorithm, the multi-layer wall compensation algorithm and the image fusion algorithm makes an effort to the development of the field.