Array Geometry Impact on Music in the Presence of Spatially Distributed Sources

Autor: Jos Picheral, Wenmeng Xiong, Sylvie Marcos
Přispěvatelé: Laboratoire des signaux et systèmes ( L2S ), Université Paris-Sud - Paris 11 ( UP11 ) -CentraleSupélec-Centre National de la Recherche Scientifique ( CNRS ), Laboratoire des signaux et systèmes (L2S), Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Computer science
Geometry
02 engineering and technology
[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing
01 natural sciences
Signal
MUSIC
Sensor array
Artificial Intelligence
Dispersion (optics)
0202 electrical engineering
electronic engineering
information engineering
Point (geometry)
Electrical and Electronic Engineering
array signal processing
angular dispersion
Applied Mathematics
010401 analytical chemistry
array geometry
Estimator
Direction of arrival
020206 networking & telecommunications
Function (mathematics)
Angular dispersion
0104 chemical sciences
Computational Theory and Mathematics
Signal Processing
Computer Vision and Pattern Recognition
Statistics
Probability and Uncertainty
distributed sources
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
performance
Zdroj: Digital Signal Processing
Digital Signal Processing, Elsevier, 2017, 63, pp.155-163. 〈10.1016/j.dsp.2017.01.001〉
Digital Signal Processing, Elsevier, 2017, 63, pp.155-163. ⟨10.1016/j.dsp.2017.01.001⟩
ISSN: 1051-2004
1095-4333
DOI: 10.1016/j.dsp.2017.01.001〉
Popis: International audience; The MUltiple SIgnal Classification (MUSIC) estimator has been widely studied for a long time for its high resolution capability in the domain of the direction of arrival (DOA) estimation, with the sources assumed to be point. However, when the actual sources are spatially distributed with angular dispersion, the performance of the conventional MUSIC is degraded. In this paper, the impact of the array geometry on the DOA estimation of spatially distributed sources impinging on a sensor array is considered. Taking into account a coherently distributed source model, we establish closed-form expressions of the MUSIC-based DOA estimation error as a function of the positions of the array sensors in the presence of model errors due to the angular dispersion of the signal sources. The impact of the array geometry is studied and particular array designs are proposed to make DOA estimation more robust to source dispersion. The analytical results are validated by numerical simulations.
Databáze: OpenAIRE
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