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Improving noisy sensor positions using accurate inter-sensor range measurements
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DOI：10.1016/j.sigpro.2013.06.027.png)
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摘要
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In this paper, we consider the problem of improving noisy sensor positions using accurately measured inter-sensor distances. A novel two-step algorithm is proposed. In Step-1, the multidimentional scaling (MDS) technique is applied to the range measurements and a shifted, rotated and possibly reflected version of the true sensor positions is obtained. Step-2 converts the original problem into a generalized trust region sub-problem (GTRS) that can be solved globally via simple bisection searching. The proposed algorithm is shown to be asymptotically efficient. Simulations verify the efficiency of the proposed algorithm. (C) 2013 Elsevier B.V. All rights reserved.
Keyword:
Sensor position refinement
Range measurements
Constrained Cramer-Rao Lower Bound (CRLB)
Constrained maximum-likelihood estimation (CMLE)
期刊
IF:
3.6
论文数:
9.9K
被引数:
1.7W
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