Indoor Localization For Passive Moving Objects Based On A Redundant SIMO Radar Sensor

In the past decade,many efforts have been devoted to indoor localization solutions.While significant progresses have been achieved,short-range localization of passive moving objects in indoor environments remains a technical challenge,especially when available radio spectrum is limited.In this work,aiming at the indoor detection of human activities,we propose a single-frequency continuous-wave Doppler radar sensor implemented with a redundant single-input multiple-output(SIMO)front-end.With an added receiving channel,a cooperative tracking-localization algorithm can be proposed based on the priori knowledge that the motion measured by this redundant channel is the same as that measured by the other receiving channels.Since only the Doppler phase shift is used in the detection,the obtained localization would only detect moving objects.Indoor multipath reflections and background scatterings would not notably impact the localization process.Implemented with a single frequency,the highest spectrum and energy efficiency can be simultaneously achieved.Simulations and experiments will verify the effectiveness of the proposed system.This paper is organized as follows.In Chapter I,the background of indoor localization is introduced.In Chapter II,the principle of the redundant SIMO architecture is introduced,and the localization algorithms are derived.In Chapter III and IV,simulations and experiments are performed to verify the effectiveness of the proposed system solution.Finally,a conclusion is drawn in Chapter V.