Compressed sensing on ambiguity function domain for high resolution detection
Author
Güldoǧan, Mehmet B.
Pilancı, Mert
Arıkan, Orhan
Date
2010Source Title
2010 IEEE 18th Signal Processing and Communications Applications Conference
Publisher
IEEE
Pages
65 - 68
Language
Turkish
Type
Conference PaperItem Usage Stats
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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.
Keywords
Ambiguity functionCompressed 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