ABSTRACT
Human motion detection and classification in indoor environments are the primary objectives in many defense and security applications, ranging from through-the-wall radar imaging (TWRI) to hostage crisis. These capabilities are also of fundamental importance in the emerging areas of remote patient monitoring and elderly assisted living. This chapter considers human motion detection and classification in indoor environments using wideband pulse-Doppler radars. It describes the wideband micro-Doppler theory from first principles and demonstrates the benefit of wideband micro-Doppler signatures for human gait estimation. The chapter then demonstrates the offerings of range-Doppler processing for elderly fall detection in assisted living applications. It also considers motion detection, tracking, and classification in multipath-rich indoor environment focusing on hallways. The chapter details a change detection (CD) approach to human motion indication for TWRI applications. Real radar data of humans moving behind walls are used to demonstrate the effectiveness of the CD process and highlight the imaging artifacts that are manifested.
