Doppler Frequency Shift Based Source Localization in Presence of Sensor Location Errors
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2872807
Abstract: In this paper, the Doppler frequency shift-based localization problem in the presence of sensor location errors is addressed. Based on the measurement model, we present two methods, an explicit solution and a semidefinite relaxation (SDR)… read more here.
Keywords: location errors; source; localization; sensor location ... See more keywords
A Semidefinite Relaxation Solution for Time Delay and Doppler Shift Localization Considering Sensor Location Errors and Its Bias Reduction Scheme
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3194897
Abstract: This article develops a robust source localization method using time delay and Doppler shift measurements, where the sensor motion effect accompanied by sensor location errors cannot be ignored. We begin by transforming the time delay… read more here.
Keywords: time delay; doppler shift; bias reduction; location errors ... See more keywords
Resource Allocation for Multitarget Tracking and Data Reduction in Radar Network With Sensor Location Uncertainty
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Signal Processing"
DOI: 10.1109/tsp.2021.3101018
Abstract: Traditional networked radar systems for target tracking usually suffer from a heavy data processing burden, and do not consider the sensor location uncertainties (SLUs), by assuming that radar locations are known perfectly, which is applicable… read more here.
Keywords: tracking data; data reduction; radar; sensor location ... See more keywords
Neural Networks With Gated Recurrent Units Reduce Glucose Forecasting Error due to Changes in Sensor Location.
Sign Up to like & getrecommendations! Published in 2022 at "Journal of diabetes science and technology"
DOI: 10.1177/19322968221100839
Abstract: BACKGROUND Continuous glucose monitors (CGMs) have become important tools for providing estimates of glucose to patients with diabetes. Recently, neural networks (NNs) have become a common method for forecasting glucose values using data from CGMs.… read more here.
Keywords: neural networks; location; gated recurrent; error ... See more keywords
Grid Search for Lowest Root Mean Squared Error in Predicting Optimal Sensor Location in Protected Cultivation Systems
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2022.920284
Abstract: Irregular changes in the internal climates of protected cultivation systems can prevent attainment of optimal yield when the environmental conditions are not adequately monitored and controlled. Key to indoor environment monitoring and control and potentially… read more here.
Keywords: cultivation; protected cultivation; number; sensor location ... See more keywords
Inertial Sensor Location for Ground Reaction Force and Gait Event Detection Using Reservoir Computing in Gait
Sign Up to like & getrecommendations! Published in 2023 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph20043120
Abstract: Inertial measurement units (IMUs) have shown promising outcomes for estimating gait event detection (GED) and ground reaction force (GRF). This study aims to determine the best sensor location for GED and GRF prediction in gait… read more here.
Keywords: gait event; grf; sensor; sensor location ... See more keywords