2012
DOI: 10.1109/lcomm.2011.111611.111416
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Improved and Extended Range Scale Algorithm for Wireless Cellular Location

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Cited by 11 publications
(9 citation statements)
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“…In [9,10], three BSs location algorithms are proposed by utilizing nonlinear constrained optimization. With the help of angle measurement, two BSs location algorithm is presented in [11].…”
Section: Introductionmentioning
confidence: 99%
“…In [9,10], three BSs location algorithms are proposed by utilizing nonlinear constrained optimization. With the help of angle measurement, two BSs location algorithm is presented in [11].…”
Section: Introductionmentioning
confidence: 99%
“…Many NLOS mitigation techniques can be found in [8][9][10][11][12][13]. Based on the NLOS distance measurements that are longer than the true distances, mathematical programming approach, which is achieved by defining a new variable to replace the square term, is proposed to reduce the NLOS error in [8].…”
Section: Introductionmentioning
confidence: 99%
“…However, because of the nonlinear objective function, it has high computation complexity. By using a new variable to replace the square term and transforming the nonlinear objective function into linear term, the work in [11] proposes a new range scale algorithm with low complexity. Linear least square approach, which selects the smallest distance measurement as the reference BS, is proposed to deal with the NLOS error in [12].…”
Section: Introductionmentioning
confidence: 99%
“…Positioning systems based on cellular networks, e.g. GSM and UMTS does not provide accurate estimates for the indoor positioning [4]. On the other hand GNSS systems, like GPS suffer from the strong multipath propagation and high signal attenuations in the indoor environment [5].…”
Section: Introductionmentioning
confidence: 99%