Source localization by TDOA with random sensor position errors - Part II : mobile sensors
For the purpose of source localization, we have proposed a constrained weighted least squares (CWLS) source localization method in our companion paper, which uses static sensors by accounting for random uncertainties in sensor positions. This paper is devoted to developin...
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Main Authors: | , |
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格式: | Conference or Workshop Item |
語言: | English |
出版: |
2012
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在線閱讀: | https://hdl.handle.net/10356/94853 http://hdl.handle.net/10220/8766 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6289786 |
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機構: | Nanyang Technological University |
語言: | English |
總結: | For the purpose of source localization, we have proposed
a constrained weighted least squares (CWLS) source localization
method in our companion paper, which uses static sensors
by accounting for random uncertainties in sensor positions. This
paper is devoted to developing two recursive algorithms to deal
with the source localization problem by using time difference of
arrival (TDOA) measurements received by mobile sensors. More
specifically, the first one uses the current TDOA measurements
to estimate the unknown source position and then treats the
estimate as a measurement to update the source localization. For
the second approach, we estimate an auxiliary variable with the
current TDOA measurements and then rearrange the nonlinear
TDOA equations into a set of linear measurement equations to
update the source localization. An illustrative example is given
to demonstrate that the second algorithm outperforms the first
one. |
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