Fuzzy mathematical approach to pattern recognition
Fuzzy mathematical approach to pattern recognition
Simulated annealing: theory and applications
Simulated annealing: theory and applications
Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing
Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Assignment of cells to switches in PCS networks
IEEE/ACM Transactions on Networking (TON)
Data Fusion of Power and Time Measurements for Mobile Terminal Location
IEEE Transactions on Mobile Computing
GALE: An Enhanced Geometry-Assisted Location Estimation Algorithm for NLOS Environments
IEEE Transactions on Mobile Computing
IEEE Transactions on Wireless Communications
A comparison of stationary and cyclostationary TDOA estimators
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Least squares algorithms for time-of-arrival-based mobile location
IEEE Transactions on Signal Processing
Sensor Allocation for Source Localization With Decoupled Range and Bearing Estimation
IEEE Transactions on Signal Processing
H∞ fuzzy estimation for a class of nonlineardiscrete-time dynamic systems
IEEE Transactions on Signal Processing
Mobile phone location determination and its impact on intelligent transportation systems
IEEE Transactions on Intelligent Transportation Systems
Assigning cells to switches in cellular mobile networks using taboosearch
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Overview of radiolocation in CDMA cellular systems
IEEE Communications Magazine
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
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In this paper, the problem of mobile positioning in a Manhattan-like urban area is considered. For this area, the involved base stations (BSs) try to use the received distance data to position the mobile station (MS) of interest, which naturally leads to an algebraic problem. However, the concerned problem is analyzed from a geometrical point of view. Using this approach, it is found that the ability to uniquely determine the location of the MS by the knowledge of the positions of BSs and the received Manhattan distances is closely related to the positions of the MS and BSs. The uniqueness issue of mobile position is then discussed in detail, and the optimal deployment of BSs is proposed mathematically in the sense that the MS can be uniquely positioned most of the time. Under the optimal deployment, a fuzzy-based estimator for positioning is developed geometrically. This estimator is simple and can work without the knowledge of noise statistics.