Simultaneous localization and map** (SLAM) algorithm has enabled the automation of
mobile robots in unknown environments. It enables the robot to navigate through an …

5G communication systems operating above 24 GHz have promising properties for user
localization and environment map**. Existing studies have either relied on simplified …

Millimeter wave (mmWave) signals are useful for simultaneous localization and map**
(SLAM), due to their inherent geometric connection to the propagation environment and the …

Compared with the commonly used lidar and visual sensors, the millimeter-wave radar has
all-day and all-weather performance advantages and more stable performance in the face of …

We consider a single-anchor multiple-input multiple-output orthogonal frequency-division
multiplexing system with imperfectly synchronized transmitter (Tx) and receiver (Rx) clocks …

Future cellular networks that utilize millimeter wave signals provide new opportunities in
positioning and situational awareness. Large bandwidths combined with large antenna …

Device localization and radar-like map** are at the heart of integrated sensing and
communication, enabling not only new services and applications, but also improving …

During the implementation of SLAM methods based on probability hypothesis density with
sequential Monte Carlo (SMC), it is necessary to generate a relatively large number of …

In this paper, we introduce and experimentally validate a simultaneous localization and
map** (SLAM) algorithm based on the processing of radar data captured in the Terahertz …