Low-complexity estimation of 2D DOA for coherently distributed sources
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Energy efficient AODV routing in CDMA ad hoc networks using beamforming
EURASIP Journal on Wireless Communications and Networking
Blind mobile positioning in urban environment based on ray-tracing analysis
EURASIP Journal on Applied Signal Processing
Decoupled estimation of 2D DOA for coherently distributed sources using 3D matrix pencil method
EURASIP Journal on Advances in Signal Processing
A fast parameter estimation approach for coherently distributed source
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A method for the central direction of arrival estimation of coherently distributed source
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Simplified Estimation of 2D DOA for Coherently Distributed Sources
Wireless Personal Communications: An International Journal
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
Fast DOA estimation of incoherently distributed sources by novel propagator
Multidimensional Systems and Signal Processing
A Fast Decoupled Nominal 2-D Direction-of-Arrival Estimation for Coherently Distributed Source
Wireless Personal Communications: An International Journal
Low-Complexity Estimation of the Nominal Azimuth and Elevation for Incoherently Distributed Sources
Wireless Personal Communications: An International Journal
A Simplified Estimator for Tridimensional Localization of Single Incoherently Distributed Source
Wireless Personal Communications: An International Journal
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A new algorithm based on ESPRIT is proposed for the estimation of the central angle and angular extension of distributed sources. The central angles are estimated using TLS-ESPRIT for both incoherently distributed (ID) and coherently distributed (CD) sources. For CD sources, the extension width is estimated by constructing a one-dimensional (1-D) distributed source parameter estimator (DSPE) spectrum for each source. For ID sources, the extension widths are estimated using the central moments of the distribution. The algorithm can be used for sources with different angular distributions