Nonlinear Least Square Localization Algorithm Based on Time Difference of Arrival
2013 ◽
Vol 411-414
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pp. 903-906
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Keyword(s):
TDOA is a predominant localization algorithm. In this paper, we propose a TDOA localization algorithm called NLLS, using the nonlinear least square estimation. We first get the initial location utilizing the LCLS algorithm, which could achieve the global optimal solution to the ordinary constraint linear least square estimation, and based on the initial location, we make use of nonlinear least square estimation to improve the localization precision. Simulation results show that compared with the CTLS algorithm, its performance is superior especially when the measurement noise is larger.
2015 ◽
Vol 40
(1)
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pp. 88-95
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Keyword(s):
2019 ◽
Vol 19
(2)
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pp. 139-145
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2014 ◽
Vol 03
(03)
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pp. 26-41
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Keyword(s):
1996 ◽
pp. 282-286
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Keyword(s):
2019 ◽
Vol 2019
◽
pp. 1-11
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Keyword(s):