TY - GEN
T1 - Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT
AU - Fu, Xiao
AU - Sidiropoulos, Nicholas D.
AU - Ma, Wing Kin
AU - Tranter, John
PY - 2014/1/1
Y1 - 2014/1/1
N2 - Unraveling power spectra mixtures and finding the directions of the constituent sources can enable effective spatial occupancy prediction by location-dependent combining of the recovered source power spectra; and it is also useful for primary interference avoidance. Such unmixing and direction-finding is a challenging leap beyond ordinary 'aggregate' spectrum sensing. This paper presents a promising new method for blind (power) spectra separation and emitter direction finding using a network of cognitive radios. Each radio has a pair of antennas, and the baselines of different radios are aligned (e.g., using a compass), in a configuration reminiscent of classical spatial correlation-based ESPRIT. Unlike classical ESPRIT, array geometry is exploited here in the temporal correlation domain to come up with a simple and effective blind spectra separation and direction finding solution with guaranteed identifiability and robustness to noise. A notable feature is that the different radios need not be synchronized, as they do in spatial ESPRIT.
AB - Unraveling power spectra mixtures and finding the directions of the constituent sources can enable effective spatial occupancy prediction by location-dependent combining of the recovered source power spectra; and it is also useful for primary interference avoidance. Such unmixing and direction-finding is a challenging leap beyond ordinary 'aggregate' spectrum sensing. This paper presents a promising new method for blind (power) spectra separation and emitter direction finding using a network of cognitive radios. Each radio has a pair of antennas, and the baselines of different radios are aligned (e.g., using a compass), in a configuration reminiscent of classical spatial correlation-based ESPRIT. Unlike classical ESPRIT, array geometry is exploited here in the temporal correlation domain to come up with a simple and effective blind spectra separation and direction finding solution with guaranteed identifiability and robustness to noise. A notable feature is that the different radios need not be synchronized, as they do in spatial ESPRIT.
KW - Blind Power Spectra Separation
KW - Cognitive Radio
KW - Direction-of-Arrival Estimation
KW - ESPRIT
KW - Spectrum Sensing
UR - http://www.scopus.com/inward/record.url?scp=84905248326&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84905248326&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6855108
DO - 10.1109/ICASSP.2014.6855108
M3 - Conference contribution
AN - SCOPUS:84905248326
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 7749
EP - 7753
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -