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  4. Measurement matrix design for compressed sensing based time delay estimation
 
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2016
Conference Paper
Title

Measurement matrix design for compressed sensing based time delay estimation

Abstract
In this paper we study the problem of estimating the unknown delay(s) in a system where we receive a linear combination of several delayed copies of a known transmitted waveform. This problem arises in many applications such as timing-based localization or wireless synchronization. Since accurate delay estimation requires wideband signals, traditional systems need high-speed AD converters which poses a significant burden on the hardware implementation. Compressive sensing (CS) based system architectures that take measurements at rates significantly below the Nyquist rate and yet achieve accurate delay estimation have been proposed with the goal to alleviate the hardware complexity. In this paper, we particularly discuss the design of the measurement kernels based on a frequency-domain representation and show numerically that an optimized choice can outperform randomly chosen functionals in terms of the delay estimation accuracy.
Author(s)
Römer, Florian  
Ibrahim, Mohamed
Franke, Norbert  
Hadaschik, Niels
Eidloth, Andreas  
Sackenreuter, Benjamin
Galdo, Giovanni del  
Mainwork
24th European Signal Processing Conference, EUSIPCO 2016. Proceedings  
Conference
European Signal Processing Conference (EUSIPCO) 2016  
DOI
10.1109/EUSIPCO.2016.7760290
Language
English
Fraunhofer-Institut für Integrierte Schaltungen IIS  
Keyword(s)
  • compressed sensing

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