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Conference Paper Compressive Symbol Detection via Template Matching
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Authors
Jae-Hyuck Park, Yookyung Kim, Seonghyun Kim
Issue Date
2017-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2017, pp.1172-1175
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC.2017.8190888
Project Code
17HF1300, Maximization of wireless communication efficiency based on compression sensing, non-power supply and super high-speed mobility, Lee Woo Yong
Abstract
In this paper, we consider a method to detect digital modulated symbols from compressively sampled measurements in digital communication system. We describe a method to build a dictionary matrix considering signal modulations, and propose a template matching based algorithm which is effective to recover the information symbols using the dictionary. We implement the algorithm as a GPGPU program, and our experiments show that the proposed recovery method works well.
KSP Keywords
Dictionary matrix, Recovery method, Sampled Measurements, Template matching, digital communication system, symbol detection