Target localization in adverse indoor environments

Slavisa Tomic, M. Beko, M. Tuba, N. Bačanin
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Abstract

This work addresses the problem of target localization in harsh indoor environments. Based on a robust approach, a novel estimator whose solution can be obtained exactly by just a bisection procedure is developed. In sharp contrast to existing solutions, computational complexity of the proposed one is linear in the number of reference points. Moreover, our simulations show that the performance of our approach not only matches the performance of the state-of-the-art, but surpasses it in general.
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不利室内环境下的目标定位
这项工作解决了在恶劣室内环境下的目标定位问题。基于一种鲁棒方法,提出了一种新的估计量,它的解只需要一个二分法就可以得到。与现有解决方案形成鲜明对比的是,所提出的解决方案的计算复杂度在参考点的数量上是线性的。此外,我们的模拟表明,我们的方法的性能不仅与最先进的性能相匹配,而且在一般情况下超过它。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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