本项目旨在解决基于多径利用的建筑环境非视距目标定位问题，通过研究建筑环境非视距目标多径回波广义模型构建、多通道时变多径回波自聚焦成像方法、图像域目标自适应检测方法、非视距目标位置与场景布局联合估计算法等基本问题，建立和完善基于多径利用的建筑环境非视距目标定位理论体系；突破关键技术，提出一套基于多径利用的建筑环境非视距目标定位信号处理算法，搭建可行性试验系统，对本项目研究所获得的相关理论和技术成果进行验证。本项目研究可提高我国在建筑环境非视距目标探测领域的基础研究水平和自主创新能力，具有重要的科学意义；其理论成果和技术可应用于城市巷战、区域监视和智能驾驶等领域。

This project mainly deals with the non-line-of-sight (NLOS) target localization of building environment based on multipath exploitation. The multipath exploiting based building environment NLOS targets localization theory can be established and improved by investigating the following fundamental problems: multipath echo generalized model constructing for NLOS target in building environment, autofocus imaging method for multichannel time-varying multipath echoes, adaptive target detection method in image domain, joint estimation approach for NLOS target location and scene layout. We will solve the key technologies, and propose a multipath exploiting based building environment NLOS targets localization signal processing method. Besides, a feasibility experimental system will be built and used to validate the proposed theory results and technological achievements. The research of this project is of great significance, since it can improve the fundamental research levels and the innovational abilities of our country for the NLOS target detection in building environment. Moreover, the theoretical results and technological achievements can be utilized in other research fields such as street battle, area monitoring and intelligent driving.