Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Personal locator services emerge
IEEE Spectrum
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
Smart Antennas for Wireless Communications: IS-95 and Third Generation CDMA Applications
Wireless Location in CDMA Cellular Radio Systems
Wireless Location in CDMA Cellular Radio Systems
Relative location estimation in wireless sensor networks
IEEE Transactions on Signal Processing
A multidimensional scaling framework for mobile location using time-of-arrival measurements
IEEE Transactions on Signal Processing
Least squares algorithms for time-of-arrival-based mobile location
IEEE Transactions on Signal Processing
Hybrid TDOA/AOA mobile user location for wideband CDMA cellular systems
IEEE Transactions on Wireless Communications
Mobile phone location determination and its impact on intelligent transportation systems
IEEE Transactions on Intelligent Transportation Systems
IEEE Communications Magazine
Exploiting geometry for improved hybrid AOA/TDOA-based localization
Signal Processing
A TOA-AOA-based NLOS error mitigation method for location estimation
EURASIP Journal on Advances in Signal Processing
RSS Based Localization Scheme Using Angle-Referred Calibration in Wireless Sensor Networks
ICIC '08 Proceedings of the 4th international conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications - with Aspects of Theoretical and Methodological Issues
Semidefinite programming approach for range-difference based source localization
IEEE Transactions on Signal Processing
A new angle-based location method using a forward-link signal
EURASIP Journal on Advances in Signal Processing
A novel scattering distance-based mobile positioning algorithm
GIIS'09 Proceedings of the Second international conference on Global Information Infrastructure Symposium
Efficient weighted multidimensional scaling for wireless sensor network localization
IEEE Transactions on Signal Processing
Ranging energy optimization for robust sensor positioning based on semidefinite programming
IEEE Transactions on Signal Processing
Statistical characterization of transmitter locations based on signal strength measurements
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
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 time-frequency technique for blind separation and localization of pure delayed sources
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
CDMA detection based on least-squares criterion
MATERIALS'08 Proceedings of the 1st WSEAS international conference on Materials science
Real-time localization of an UAV using Kalman filter and a Wireless Sensor Network
Journal of Intelligent and Robotic Systems
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
Closed-form estimation of the speed of propagating waves from time measurements
Multidimensional Systems and Signal Processing
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The problem of locating a mobile terminal has received significant attention in the field of wireless communications. Time-of-arrival (TOA), received signal strength (RSS), time-difference-of-arrival (TDOA), and angle-of-arrival (AOA) are commonly used measurements for estimating the position of the mobile station. In this paper, we present a constrained weighted least squares (CWLS) mobile positioning approach that encompasses all the above described measurement cases. The advantages of CWLS include performance optimality and capability of extension to hybrid measurement cases (e.g., mobile positioning using TDOA and AOA measurements jointly). Assuming zero-mean uncorrelated measurement errors, we show by mean and variance analysis that all the developed CWLS location estimators achieve zero bias and the Cramér-Rao lower bound approximately when measurement error variances are small. The asymptotic optimum performance is also confirmed by simulation results.