Indoor intelligent fingerprint-based localization: Principles, approaches and challenges
With the rapid development of Internet of Things (IoT) technology, location-based services
have been widely applied in the construction of smart cities. Satellite-based location …
have been widely applied in the construction of smart cities. Satellite-based location …
Data-driven sensor selection method based on proximal optimization for high-dimensional data with correlated measurement noise
The present paper proposes a data-driven sensor selection method for a high-dimensional
nondynamical system with strongly correlated measurement noise. The proposed method is …
nondynamical system with strongly correlated measurement noise. The proposed method is …
Data-driven sparse sensor selection based on A-optimal design of experiment with ADMM
The present study proposes a sensor selection method based on the proximal splitting
algorithm and the A-optimal design of experiment using the alternating direction method of …
algorithm and the A-optimal design of experiment using the alternating direction method of …
Randomized group-greedy method for large-scale sensor selection problems
The randomized group-greedy (RGG) method and its customized method for large-scale
sensor selection problems are proposed. The randomized greedy sensor selection …
sensor selection problems are proposed. The randomized greedy sensor selection …
Acoustic target tracking through a cluster of mobile agents
This paper discusses the problem of tracking a moving target by means of a cluster of mobile
agents that is able to sense the acoustic emissions of the target, with the aim of improving …
agents that is able to sense the acoustic emissions of the target, with the aim of improving …
Assessment of Sensor Optimization Methods Toward State Estimation in a High-Dimensional System using Kalman Filter
The characteristics of the sensor selection method based on various algorithms for state
estimation in a high-dimensional system using the Kalman filter were investigated. Sensors …
estimation in a high-dimensional system using the Kalman filter were investigated. Sensors …
Optimal Microphone Array Placement Design Using the Bayesian Optimization Method
In addition to the filter coefficients, the location of the microphone array is a crucial factor in
improving the overall performance of a beamformer. The optimal microphone array …
improving the overall performance of a beamformer. The optimal microphone array …
Anchor Deployment Optimization for Range-Based Indoor Positioning Systems in Non-Line-of-Sight Environment
Optimizing anchor deployment is critical to ensure the performance and positioning stability
of indoor positioning systems in real-world applications. In this article, a new anchor …
of indoor positioning systems in real-world applications. In this article, a new anchor …
Impact of microphone array configurations on robust indirect 3D acoustic source localization
Acoustic source localization (ASL) is an important problem. Despite much attention over the
past few decades, rapid and robust ASL still remains elusive. A popular approach is to use a …
past few decades, rapid and robust ASL still remains elusive. A popular approach is to use a …
Locations selection for periodic radio map update in wifi fingerprinting
The construction and update of a radio map are usually referred as the main drawbacks of
WiFi fingerprinting, a very popular method in indoor localization research. For radio map …
WiFi fingerprinting, a very popular method in indoor localization research. For radio map …