Focusing Operators and Tracking Moving Wideband Sources , Journal of Telecommunications and Information Technology, 2016, nr 4

In this paper, the localization of wideband source with an algorithm to track a moving source is investigated. To locate the wideband source, the estimation of two directions of arrival (DOA) of this source from two different arrays of sensors is used, and then, a recursive algorithm is applied to predict the moving source’s position. The DOA is estimated by coherent subspace methods, which use the focusing operators. Practical methods of the estimation of the coherent signal subspace are given and compared. Once the initial position is estimated, an algorithm of tracking the moving source is presented to predict its trajectory

Comparative Study between Several Direction of Arrival Estimation Methods , Journal of Telecommunications and Information Technology, 2014, nr 1

In this paper a comparative study, restricted to one-dimensional stationary case, between several Direction of Arrival (DOA) estimation algorithms of narrowband signals is presented. The informative signals are corrupted by an Additive White Gaussian Noise (AWGN), to show the performance of each method by applying directly the algorithms without pre-processing techniques such as forward-backward averaging or spatial smoothing

Lorentzian Operator for Angular Source Localization with Large Array, Journal of Telecommunications and Information Technology, 2015, nr 4

Source localization problem consists of an ensemble of techniques that are used to obtain spatial information of present radiation in given medium of propagation, with a constraint of the antenna geometry and the characteristics of radiating sources. This condition gives multitude of cases to study, hence several methods were proposed in the literature. In this paper, a new algorithm for estimating the Direction of Arrival (DoA) of narrowband and far field punctual sources is introduced. By exploiting the spectrum of covariance matrix of received data, the Lorentzian function on spectral matrix to filter the eigenvalues is applied. This filtering process eliminates the eigenvalues belonging to signal subspace. Parameters of Lorentz function are adjusted using first and second statistics of eigenvalues. The algorithm requires the knowledge of minimum eigenvalue and is performing when the dimension of antenna is relatively large which is confirmed by several Monte Carlo simulations

Angles of Arrival Estimation with Unitary Partial Propagator

In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexit

Angles of Arrival Estimation with Unitary Partial Propagator

In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexit

Angles of Arrival Estimation with Unitary Partial Propagator

In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexit

Angles of Arrival Estimation with Unitary Partial Propagator

In this paper, we investigated the effect of real valued transformation of the spectral matrix of the received data for Angles Of Arrival estimation problem. Indeed, the Unitary transformation of Partial Propagator (UPP) for narrowband sources is proposed and applied on Uniform Linear Array (ULA). Monte Carlo simulation proved the performance of the UPP spectrum comparatively with: Forward Backward Propagator Method (FBPM), Unitary Propagator Method (UPM), Partial Propagator(PPM) and Cramer Rao Bound(CRB). In the second part, the results demonstrates that when some of the sources are fully correlated and closer than the Rayleigh angular limit resolution of the broadside array, the UPP method outperforms the FBPM in both of spatial resolution and complexit

Focusing Operators and Tracking Moving Wideband Sources

International audienceIn this paper, the localization of wideband source with an algorithm to track a moving source is investigated. To locate the wideband source, the estimation of two directions of arrival (DOA) of this source from two different arrays of sensors is used, and then, a recursive algorithm is applied to predict the moving source’s position. The DOA is estimated by coherent subspace methods, which use the focusing operators. Practical methods of the estimation of the coherent signal subspace are given and compared. Once the initial position is estimated, an algorithm of tracking the moving source is presented to predict its trajectory