Paper Info
Title
Compressed power spectrum, carrier and DOA estimation via PARAFAC decomposition
Abstract
This paper considers the problem of joint wideband spectrum sensing and direction-of-arrival (DoA) estimation in a sub-Nyquist sampling framework. A new phased-array based sub-Nyquist receiver architecture, which requires only a single delay channel for each sensor output and thus can be implemented simply and efficiently, is proposed. We proposed a CANDECOMP/PARAFAC (CP) decomposition-based method for joint wideband spectrum sensing and DOA estimation through exploiting the cross-correlations between different sensor outputs. Simulation results under different numbers of antennas and signal to noise ratios (SNR) are provided to corroborate our proposed algorithm.
Year
DOI
Venue
2017
10.1109/CAMSAP.2017.8313106
2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Keywords
Field
DocType
Direction of arrival,carrier frequency,CAN-DECOMP/PARAFAC decomposition,compressed sensing
Wideband,Computer science,Signal-to-noise ratio,Communication channel,Algorithm,Spectral density,Sampling (statistics)
Conference
ISBN
Citations 
PageRank 
978-1-5386-1252-1
0
0.34
References 
Authors
6
3
Name
Order
Citations
PageRank
Jun Fang1103994.15
Feiyu Wang2322.33
Hongbin Li313711.40