Various ambient intelligent environment applications are based on location-based services.
To obtain the location, many popular localization methods use the Received-Signal-Strength …

Radar simulation offers the potential to generate data cubes with effectiveness and
accuracy. However, the radar simulator considering both dense multipaths of indoor …

Localization in modern and future wireless networks has been established as an important
field of research work due to the requirements of location-based applications and services …

The proliferation of technologically advanced and mobile devices poses risks to public
safety and security. These threats can be mitigated by systems equipped to perform timely …

Multiple sources localization (MSL) has received considerable attention in scenarios of
commercial, industrial, and defense areas. In this paper, a novel deep learning-based …

Distribution discrepancy is an intrinsic challenge in existing fingerprint-based indoor
positioning system (s)(FIPS) due to real-time environmental variations; thus, the positioning …

Space debris detection and tracking, a key enabler for Space Situational Awareness (SSA),
poses two inherent challenges:(1) small-sized targets (eg, 1− 10 cm) posing detection …

Many popular location-based applications use Received-Signal-Strength-Indicator (RSSI)
measurement to obtain location because it does not require special hardware. However …

Most of the existing localization algorithms are for line-of-sight (LOS) condition. However, the
localization errors of the existing algorithms are not reliable for non-line-of-sight (NLOS) …