UWB Location and tracking for wireless embedded networks
Signal Processing - Signal processing in UWB communications
A constrained least squares approach to mobile positioning: algorithms and optimality
EURASIP Journal on Applied Signal Processing
A multi-step vertical handoff mechanism for cellular multi-hop networks
Proceedings of the 2nd ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Performance capabilities of long-range UWB-IR TDOA localization systems
EURASIP Journal on Advances in Signal Processing
An efficient approach for trilateration in 3D positioning
Computer Communications
A Robust Non-Line-Of-Sight Error Mitigation Method in Mobile Position Location
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
Design and implementation of NIMS3D, a 3-D cabled robot for actuated sensing applications
IEEE Transactions on Robotics
IEEE Transactions on Wireless Communications
Field-tests of a redundantly actuated cable-driven robotfor environmental sampling applications
CASE'09 Proceedings of the fifth annual IEEE international conference on Automation science and engineering
NIMS-PL: a cable-driven robot with self-calibration capabilities
IEEE Transactions on Robotics
Ranging energy optimization for robust sensor positioning based on semidefinite programming
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Wireless Personal Communications: An International Journal
Accuracy comparison of LS and squared-range LS for source localization
IEEE Transactions on Signal Processing
Constrained least squares algorithm for TOA-based mobile location under NLOS environments
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A novel non-iterative localization solution
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Non-line-of-sight localization scheme using two-steps weighting process
ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
IEEE Transactions on Signal Processing
Sourcelocatization based on SVD without a priori knowledge
ICACT'10 Proceedings of the 12th international conference on Advanced communication technology
Joint synchronization and localization using TOAs: a linearization based WLS solution
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
A framework for low complexity least-squares localization with high accuracy
IEEE Transactions on Signal Processing
EURASIP Journal on Wireless Communications and Networking
Bayesian method for NLOS mitigation in single moving sensor Geo-location
Signal Processing
Robust Mobile Location Estimation Using Hybrid TOA/AOA Measurements in Cellular Systems
Wireless Personal Communications: An International Journal
A flexible semi-definite programming approach for source localization problems
Digital Signal Processing
Benefits of averaging lateration estimates obtained using overlapped subgroups of sensor data
Digital Signal Processing
RSSI-based relative localisation for mobile robots
Ad Hoc Networks
Hi-index | 35.70 |
Localization of mobile phones is of considerable interest in wireless communications. In this correspondence, two algorithms are developed for accurate mobile location using the time-of-arrival measurements of the signal from the mobile station received at three or more base stations. The first algorithm is an unconstrained least squares (LS) estimator that has implementation simplicity. The second algorithm solves a nonconvex constrained weighted least squares (CWLS) problem for improving estimation accuracy. It is shown that the CWLS estimator yields better performance than the LS method and achieves both the Crame´r-Rao lower bound and the optimal circular error probability at sufficiently high signal-to-noise ratio conditions.