Low-complexity estimation of 2D DOA for coherently distributed sources

Authors:
Jooshik Lee;Iickho Song;Hyoungmoon Kwon;Sung Ro Lee
Affiliations:
Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong Dong, Yuseong Gu, Daejeon 305-701, South Korea;Department of Electrical and Computer Engineering, Queen's University, Kingston, Ont., Canada K7L 3N6;Department of Electrical Engineering, Korea Advanced Institute of Science and Technology, 373-1 Guseong Dong, Yuseong Gu, Daejeon 305-701, South Korea;Department of Electronics Engineering, Mokpo National University, 61 Dorim Ri, Chunggye Myeon, Muan Gun. Jeonnam 534-729, South Korea
Venue:
Signal Processing - Special section: Hans Wilhelm Schüßler celebrates his 75th birthday
Year:
2003

Citing 13
Cited 7

Estimation of nominal direction of arrival and angular spread using an array of sensors

Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
Handbook of Antennas in Wireless Communications

Handbook of Antennas in Wireless Communications
Linear System Theory and Design

Linear System Theory and Design
Distributed source modeling and direction-of-arrival estimationtechniques

IEEE Transactions on Signal Processing
Decoupled estimation of DOA and angular spread for a spatiallydistributed source

IEEE Transactions on Signal Processing
Bearing estimation for a distributed source: modeling, inherentaccuracy limitations and algorithms

IEEE Transactions on Signal Processing
Low-complexity estimators for distributed sources

IEEE Transactions on Signal Processing
Inherent limitations in the localization of a coherently scatteredsource

IEEE Transactions on Signal Processing
Distributed source localization using ESPRIT algorithm

IEEE Transactions on Signal Processing
Parametric localization of distributed sources

IEEE Transactions on Signal Processing
A generalization of weighted subspace fitting to full-rank models

IEEE Transactions on Signal Processing
The effects of local scattering on direction of arrival estimationwith MUSIC

IEEE Transactions on Signal Processing
First- and second-order characterization of direction dispersion and space selectivity in the radio channel

IEEE Transactions on Information Theory

Fast communication: Performance analysis of the generalized beamforming estimators in the case of coherently distributed sources

Signal Processing
Fast communication: Efficient DSPE algorithm for estimating the angular parameters of coherently distributed sources

Signal Processing
Decoupled estimation of 2D DOA for coherently distributed sources using 3D matrix pencil method

EURASIP Journal on Advances in Signal Processing
Simplified Estimation of 2D DOA for Coherently Distributed Sources

Wireless Personal Communications: An International Journal
Decoupled 2-d DOA estimation algorithm based on cross-correlation matrix for coherently distributed source

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part III
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

Quantified Score

Hi-index	0.00

Visualization

Abstract

We consider the estimation of two-dimensional (azimuth and elevation) direction-of-arrival (DOA) using a pair of uniform circular arrays under a coherently distributed source model. Since the coherently distributed source is characterized by four parameters, the nominal azimuth DOA, angular extension of the azimuth DOA, nominal elevation DOA, and angular extension of the elevation DOA, the computational complexity of the parameter estimation is normally highly demanding. We propose a low-complexity estimation algorithm, called the sequential one-dimensional searching algorithm by concentrating only on the estimation of DOAs. The SOS algorithm has a basis on the eigenstructure between the steering matrix and signal subspace, and utilizes preliminary estimates obtained at a pre-processing stage. The SOS algorithm estimates the DOAs, but not the angular extensions: although the SOS algorithm does not provide estimates of angular extensions, it is useful when the angular extensions are small. Specifically, it is shown from simulation results that the SOS algorithm exhibits as good an estimation performance as the maximum likelihoood method for coherently distributed sources.