室内定位技术是物联网应用中非常重要的基础技术，在各行各业均有非常广泛的应用，引起了学术界与工业界的研究热潮。现有的室内定位技术主要的定位目标是用户手持的智能移动设备，而对非智能设备的室内定位问题鲜有涉及。对非智能设备的室内定位可以改进室内导航等民用技术，还能丰富大数据的底层数据来源，为国家安全等领域的发展起到促进作用，具有十分现实的理论意义与应用价值。本项目利用易于获得的智能移动设备，对室内环境中发出非调制声音信号的非智能设备进行定位，研究室内噪声存在的情况下，非调制声音信号的功率变化与非智能设备空间位置的映射关系、通过理论模型评估智能移动设备自身位置误差对非智能设备室内定位精度的影响，实现并测试基于非调制声音信号的非智能设备室内定位系统。本项目的研究有助于完善室内定位技术，为室内定位技术提供技术储备与理论依据。

Indoor localization plays an important role in the application of Internet of Things. It has been widely used in various areas, and has attracted the attention from both academia and industry. Existing works mainly focus on locating the users' handheld devices, which overlooks the localization of dummy devices. Indoor localization for dummy devices is capable of improving the user experience of indoor navigation. What 's more, it can even enrich the fundamental data resources of Big Data, which boosts the development of national security. Therefore, indoor localization of dummy devices has significant values in both theory and application. This project proposes to use a smart device to locate dummy devices that emits unmodulated acoustic signals in indoor environments by investigating the relationship between the power of acoustic signals and the location of dummy devices in the presence of noise. We then model the impact of the error of smart devices on the locating accuracy of dummy devices, and further implement the indoor positioning systems to prove the correctness of our algorithm. This project can potentially help us to improve the indoor localization technology and provide important technical reserves and theoretical foundations for indoor localization.