In this paper, we address the problem of closely spaced source localization using sensor array pr... more In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-tonoise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiplesource scenarios.
El Código Civil es la norma del hombre común, de las situaciones y relaciones cotidianas, la norm... more El Código Civil es la norma del hombre común, de las situaciones y relaciones cotidianas, la norma que contiene la esencia de la dinámica social. Es en este sentido la norma más importante del sistema jurídico, precisamente por ser el continente legal propio del hombre común sin el que ninguna sociedad es posible.
In this paper, we address the problem of closely spaced source localization using sensor array pr... more In this paper, we address the problem of closely spaced source localization using sensor array processing. In particular, the performance efficiency (measured in terms of the root mean square error) of the unconditional maximum likelihood (UML) algorithm for estimating the direction of arrival (DOA) of near-field sources is evaluated. Four parameters are considered in this evaluation: angular separation among sources, signal-tonoise ratio (SNR), number of snapshots, and number of sources (multiple sources). Simulations are conducted to illustrate the UML performance to compute the DOA of sources in the near-field. Finally, results are also presented that compare the performance of the UML DOA estimator with the existing multiple signal classification approach. The results show the capability of the UML estimator for estimating the DOA when the angular separation is taken into account as a critical parameter. These results are consistent in both low SNR and multiplesource scenarios.
El Código Civil es la norma del hombre común, de las situaciones y relaciones cotidianas, la norm... more El Código Civil es la norma del hombre común, de las situaciones y relaciones cotidianas, la norma que contiene la esencia de la dinámica social. Es en este sentido la norma más importante del sistema jurídico, precisamente por ser el continente legal propio del hombre común sin el que ninguna sociedad es posible.
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Papers by David Rosales