Abstract Novel Communication, Navigation and Surveillance (CNS) systems are currently
developed targeting the Required Total System Performance (RTSP) levels. Within RTSP, it …

We propose a machine learning approach, based on analytical inference in Gaussian
process regression (GP), to locate users from their uplink received signal strength (RSS) …

Activity recognition is important for taking care of patients and old men especially in e-
Health. The activity recognition system without carrying any wearable devices is widely used …

With the widespread use of the Global Positioning System, indoor positioning technology
has attracted increasing attention. Many systems with distinct deployment costs and …

This objective of this paper is to propose and evaluate a new algorithm to increase the
computation and storage efficiency and to reduce the bandwidth requirements of the Wi-Fi …

Scope of Research. This paper deals with the problem of design space exploration for a
particular class of networked embedded systems called Real-Time Location Systems …

Locating a noncooperative radio-frequency (RF) transmitter is a difficult problem, particularly
in an indoor environment. In such cases, traditional approaches are adversely affected by …

In order to optimize the user experience and solve logistical and security issues, many
systems require the physical location information from objects and people. Indoor …

We consider a machine learning approach based on Gaussian process regression (GP) to
position users in a distributed massive multiple-input multiple-output (MIMO) system with the …

Identifying the location of a radio-frequency (RF) transmitter is a useful capability for many
civilian, industrial, and military applications. This problem is made more challenging when …