Compressed sensing on ambiguity function domain for high resolution detection
Date
2010
Editor(s)
Advisor
Supervisor
Co-Advisor
Co-Supervisor
Instructor
Source Title
2010 IEEE 18th Signal Processing and Communications Applications Conference
Print ISSN
Electronic ISSN
Publisher
IEEE
Volume
Issue
Pages
65 - 68
Language
Turkish
Type
Journal Title
Journal ISSN
Volume Title
Series
Abstract
In this paper, by using compressed sensing techniques, a new approach to achieve robust high resolution detection in sparse multipath channels is presented. Currently used sparse reconstruction techniques are not immediately applicable in wireless channel modeling and radar signal processing. Here, we make use of the cross-ambiguity function (CAF) and transformed the reconstruction problem from time to delay-Doppler domain for efficient exploitation of the delay-Doppler diversity of the multipath components. Simulation results quantify the performance gain and robustness obtained by this new CAF based compressed sensing approach. ©2010 IEEE.
Course
Other identifiers
Book Title
Keywords
Ambiguity function , Compressed sensing , Cross-ambiguity function , Doppler , Doppler diversity , High resolution detection , Multi-path components , New approaches , Performance Gain , Radar signal processing , Reconstruction problems , Simulation result , Sparse multi-path channel , Sparse reconstruction , Wireless channel modeling , Room and pillar mining , Sensors , Signal processing , Signal reconstruction , Signal detection