Least squares algorithms for time-of-arrival-based mobile location

By Ka Wai Cheung, Hing Cheung So, Wing-Kin Ma, Yiu Tong Chan. IEEE Transactions on Signal Processing, 2004

553 citations recorded by the source corpus.

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A Constrained Least Squares Approach to Mobile Positioning: Algorithms and Optimality (2006, methodology): “Nevertheless, we have already shown that its estimation performance attains the CRLB in uncorrelated measurement errors in [20].”
Semidefinite Relaxation of Quadratic Optimization Problems (2010, background): “, [77], [78]), which is well-studied in th e signal processing community and may be considered as a special case of the sensor network localization problem.”
Best linear unbiased estimator approach for time-of-arrival based localisation (2008, unknown): “156 & T”
A Survey on TOA Based Wireless Localization and NLOS Mitigation Techniques (2009, methodology): “The CWLS problem in (53) and (54) can then be solved by minimizing the Lagrangian as follows [32]”
Exact and Approximate Solutions of Source Localization Problems (2008, background): “Mathematically, the key difference between (30) and (16) is that (30) has two quadratic constraints (recall that a linear constraint is a special case of a general quadratic constraint), while (16) involves only a single quadratic constraint.”
Accurate Passive Location Estimation Using TOA Measurements (2012, background): “As we know, the CRLB sets the lower bound of the estimation error variance of any un-biased method.”