2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI) 2013
DOI: 10.1109/icacci.2013.6637157
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Performance analysis of angle of arrival estimation algorithms for dynamic spectrum access in cognitive radio networks

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Cited by 3 publications
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“…For example, we recognize that ITD can be used to estimate the angle of arrival (AOA) (as in traditional beamformers), while the ILD is a type of differential received signal strength indicator (RSSI) measurement (Mead et al, 1991 ; Chan et al, 2007 ) that may also be useful for AOA estimation. Thus, hardware-efficient ITD and ILD estimators for RF signals would enable energy-efficient RF source localization, which in turn would be of significant interest for a variety of spatial processing tasks in wireless systems, including (i) beam management for MIMO transceivers (Xue et al, 2018 ), (ii) dynamic spectrum access (DSA) algorithms for cognitive radio (CR) networks (Dhope et al, 2013 ), and (iii) interference/clutter rejection in radar processors (Chen and Vaidyanathan, 2008 ; Gu et al, 2018 ). The resulting location estimates can be combined with other source properties (frequencies, modulation types) to generate so-called “RF scene maps”.…”
Section: Introductionmentioning
confidence: 99%
“…For example, we recognize that ITD can be used to estimate the angle of arrival (AOA) (as in traditional beamformers), while the ILD is a type of differential received signal strength indicator (RSSI) measurement (Mead et al, 1991 ; Chan et al, 2007 ) that may also be useful for AOA estimation. Thus, hardware-efficient ITD and ILD estimators for RF signals would enable energy-efficient RF source localization, which in turn would be of significant interest for a variety of spatial processing tasks in wireless systems, including (i) beam management for MIMO transceivers (Xue et al, 2018 ), (ii) dynamic spectrum access (DSA) algorithms for cognitive radio (CR) networks (Dhope et al, 2013 ), and (iii) interference/clutter rejection in radar processors (Chen and Vaidyanathan, 2008 ; Gu et al, 2018 ). The resulting location estimates can be combined with other source properties (frequencies, modulation types) to generate so-called “RF scene maps”.…”
Section: Introductionmentioning
confidence: 99%