Research About The Human Imging Of See-through-building

Based on the technology of see-through-building, the human imaging which carries out the detection of the local scene inside buildings to obtain the human image, whose inestimable application prospect in the civilian fields, for example counterterrorism, law enforcement, disaster relief, guides the future development and improvement of the technology of through-wall-detection. Aiming at the key problem in the human imaging of see-through-building, such that the unknown wall penetration results to phase distortion, wall clutter interferes the imaging of human imaging near the wall. This paper carries on research work as follows:1. BP and improved BP imaging algorithm for human body imaging are studied, multichannel coherence echancing BP algorithm is propose, and the evaluation criteria to measure the human images, realizing the human imaging indoor. Experimental results show that the multichannel coherence echancing BP algorithm is superior to other imaging algorithms.2. Aiming at wall compensation about human imaging in the distance, the unknown wall compensation algorithm based on the correlation of wall parameters is proposed, solving the image defocus and human position drift from the true position caused by the propose the unknown wall homogeneous wall penetration which results to phase distortion, realizing the high-accuracy human imaging in the distance. Experimental results show that the algorithm is applicable and effective.3. Aiming at wall clutter suppression about human imaging near the building wall, subspace judgement algorithm and wall clutter supression algorithm based on RPCA are proposed, otherwise, image optimization algorithm based on gray level transformation and subspace extraction algorithm are proposed, eliminating the wall clutter interference on the human echo, achieving the high-quality human imaging near the wall. Experimtal results show the performance of the above algorithm is more excellent than traditional algorithms.The deep research about the technology of the human body imaging is carried on throughout this paper. The proposed the relevant algorithms are all deducted through detailed theory and experimental verification. The efforts of this paper provide theoretical basis and technical support for the application extension of the technology of through-wall-detection, and will lay a solid foundation for the subsequent research.