A Generalized Hard Thresholding Pursuit on Infinite Unions of Subspaces
Conference: WSA 2018 - 22nd International ITG Workshop on Smart Antennas
03/14/2018 - 03/16/2018 at Bochum, Deutschland
Proceedings: ITG-Fb. 276: WSA 2018
Pages: 7Language: englishTyp: PDFPersonal VDE Members are entitled to a 10% discount on this title
Koller, Michael; Wiese, Thomas; Utschick, Wolfgang (Professur für Methoden der Signalverarbeitung, Technische Universität München, 80290 Munich, Germany)
Hard thresholding pursuit (HTP) has been introduced to the field of compressive sensing as an algorithm to solve underdetermined linear systems of equations where the solution is assumed to be a sparse vector. This sparsity constraint of the solution can be expressed in terms of a finite union of particular subspaces. The present paper shows how HTP can be generalized to linear inverse problems with solutions in an arbitrary (infinite) union of subspaces. We incorporate the idea of inexact projections. This allows for more flexibility in calculating a crucial step of the generalized HTP, which is beneficial in practical considerations. We show how the HTP algorithm can be used in conjunction with Root MUSIC for channel estimation in millimeter-wave communication systems.