Deadbeat Source Localization From Range-Only Measurements: A Robust Kernel-Based Approach

被引：7
|
作者：
Li, Peng [1 ]
Pin, Gilberto [2 ]
Fedele, Giuseppe [3 ]
Parisini, Thomas [1 ,4 ,5 ]
机构：
[1] Imperial Coll London, Dept Elect & Elect Engn, London SW7 2AZ, England
[2] Elect Italia SpA, I-33080 Porcia, Italy
[3] Univ Calabria, Dept Informat Modeling Elect & Syst Engn, I-87036 Arcavacata Di Rende, Italy
[4] Univ Cyprus, KIOS Res & Innovat Ctr Excellence, Nicosia, Cyprus
[5] Univ Trieste, Dept Engn & Architecture, I-34127 Trieste, Italy
来源：
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY | 2019年 / 27卷 / 03期
基金：
欧盟地平线“2020”;
关键词：
Finite-time estimation; integral operators; non-asymptotic kernels; robustness analysis; source localization; NAVIGATION;
D O I：
10.1109/TCST.2017.2789189
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel framework for the problem of target localization based on the range information collected by a single mobile agent. The proposed methodology exploits the algebra of Volterra integral operators to annihilate the influence of initial conditions on the transient phase, thus achieving a deadbeat performance. The robustness properties against additive measurement perturbations are analyzed, and the bias caused by the time discretization is characterized as well. Extensive simulation results and comparisons are provided showing the effectiveness of the proposed technique in coping with both stationary and drifting targets.
引用
收藏
页码：923 / 933
页数：11
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