A Lagrangian Dual Approach to the Single-Source Localization Problem

The single-source localization problem (SSLP), which is nonconvex by its nature, appears in several important multidisciplinary fields such as signal processing and the global positioning system. In this paper, we cast SSLP as a Euclidean distance embedding problem and study a Lagrangian dual approa...

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Veröffentlicht in:	IEEE transactions on signal processing 2013-08, Vol.61 (15), p.3815-3826
Hauptverfasser:	Qi, Hou-Duo, Xiu, Naihua, Yuan, Xiaoming
Format:	Artikel
Sprache:	eng
Schlagworte:	Applied sciences Detection, estimation, filtering, equalization, prediction Euclidean distance Euclidean distance matrix Exact sciences and technology Global Positioning System Indexes Information, signal and communications theory Lagrangian duality low-rank approximation orthogonal projection Programming Signal and communications theory Signal, noise Symmetric matrices Telecommunications and information theory
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