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Article de conférence

The impact of High Resolution Spectral Analysis methods on the performance and design of millimetre wave FMCW radars

Auteurs : Bonacci David, Mailhes Corinne, Chabert Marie et Castanié Francis

In Proc. Int. Radar Conf. (Radar 2004), October 19-21, 2004.

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This paper addresses the problem of joint measures of range and velocity of moving targets using millimetre wave FMCW radar (in the 77 Ghz range) within the field of automotive applications. The proposed solution is to determine range and velocity using spectral estimation of downconverted signals, theoretically composed of multiple sine functions embedded in noise. As a consequence, their accuracy is closely related to the accuracy of frequency estimation. In this paper, High Resolution spectral analysis methods (such as Auto-Regressive or Prony modeling) are shown to strongly impact the technological design constraints of the radars. More precisely, for a given sampling frequency of the downconverted signal, these methods show their ability either to significantly reduce the bandwidth of the linear frequency modulated radar sweeps although keeping constant the frequency resolution, or, for a given technological design, increase the same figure of merit. Moreover, adequate pre-processing of the signal is described, yielding correction of some 'nasty' non-linear effects (VCO, mixers, ...) as well as denoising received signals. Theoretical study of the performances is given and illustrated on simulated and real signals (provided by the RadarNet project of the 5th Framework Program).

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Traitement du signal et des images / Localisation et navigation

Thèse de Doctorat

Intérêt du découpage en sous-bandes pour l'analyse spectrale

Auteur : Bonacci David

Defended in December 2003

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Subband decomposition has been successfully used in several applications in image and signal processing and telecommunication fields. It consists in presenting a signal at the input of a filterbank and then decimating (sampling rate decreasing) the obtained filtered signals. Some authors recently showed that it can be a powerful tool for spectral estimation, either for the classical one (based on the Fourier transform) or spectral estimation based on parametric modellings. The aim of this PhD is double: first, we present the motivations and drawbacks of parametric spectral estimation in the subbands and then we present several original methods able to take advantage of the good properties of subband decomposition while preventing some of its drawbacks. Particularly, some methods able to cancel spectral overlapping induced by sampling rate decreasing will be developped, as well as other methods permitting to increase the perfromances of spectral estimation using the intercorrelation between the sub-series descended from decimation.

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Traitement du signal et des images / Autre

Présentation de soutenance de thèse

Intérêt du découpage en sous-bandes pour l'analyse spectrale

Auteur : Bonacci David

Defended in December 2003

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Subband decomposition has been successfully used in several applications in image and signal processing and telecommunication fields. It consists in presenting a signal at the input of a filterbank and then decimating (sampling rate decreasing) the obtained filtered signals. Some authors recently showed that it can be a powerful tool for spectral estimation, either for the classical one (based on the Fourier transform) or spectral estimation based on parametric modellings. The aim of this PhD is double: first, we present the motivations and drawbacks of parametric spectral estimation in the subbands and then we present several original methods able to take advantage of the good properties of subband decomposition while preventing some of its drawbacks. Particularly, some methods able to cancel spectral overlapping induced by sampling rate decreasing will be developped, as well as other methods permitting to increase the perfromances of spectral estimation using the intercorrelation between the sub-series descended from decimation.

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Traitement du signal et des images / Autre

Article de conférence

Improving Frequency Resolution for Correlation-Based Frequency Estimation Methods Using Subband Decomposition

Auteurs : Bonacci David, Mailhes Corinne et Djurić Petar M.

In Proc. Int. Conf. Acoust., Speech and Signal Processing (ICASSP), April 6-10, 2003.

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Subband decomposition has already been shown to increase the performance of spectral estimators, but induced frequency overlapping may be troublesome, bringing edge effects at subband borders. A recent paper (Bonacci, D. et al., EUSIPCO, 2002) proposed a method (SDFW - subband decomposition and frequency warping) allowing subband decomposition to be performed without aliasing. We modify this subband decomposition in order to improve frequency resolution for any correlation based spectral estimator when applied to the subband outputs. Three main improvements are proposed: the subband decomposition is based on comb filters; the SDFW method warping operation is performed using a complex frequency modulation; the autocorrelation is estimated using all sub-series from each subband. Simulation results demonstrate the anticipated performance of the proposed method.

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Traitement du signal et des images / Autre

Subband Decomposition and Frequency Warping for Spectral Estimation

Auteurs : Bonacci David, Michel Patrice et Mailhes Corinne

In Proc. European Signal and Image Processing Conference (EUSIPCO), Toulouse, France, September 3-6, 2002.

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Subband decomposition has already been shown to increase the performances of spectral estimation but induced frequency overlapping may be troublesome, bringing edge effects, when spectral estimation is applied after subband decomposition and decimation. This paper proposes a new spectral estimation procedure based on subband decomposition and frequency warping which reduces the overlapping frequency problem. Simulation results confirm the interest of this new algorithm.

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Traitement du signal et des images / Autre

Spectral Estimation Using Subband Decomposition and Frequency Warping

Auteurs : Bonacci David, Michel Patrice et Mailhes Corinne

In Proc. Int. Conf. Acoust., Speech and Signal Processing (ICASSP), Orlando, Florida, May 13-17, 2002.

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This paper addresses the problem of frequency overlapping which occurs when spectral estimation is applied after subband decomposition. Subband decomposition has already been shown to increase the performances of spectral estimation but induced frequency overlapping may be troublesome. This paper proposes a new spectral estimation procedure based on sub band decomposition and frequency warping which reduces the overlapping frequency problem. Simulations confirm the interest of this new algorithm.

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Traitement du signal et des images / Autre

A New Air Traffic Complexity Metric Based on Dynamical System Modelization

Auteurs : Delahaye Daniel, Paimblanc Philippe, Histon Jonathan M. et Hansman R. John

In Proceedings of the 21st IEEE Digital Avionics Systems Conference, Volume 1, pp 4A2-1 - 4A2-12

This paper presents new concepts to address the air traffic complexity modeling problem. Two new geometrical metrics have been introduced and have been found very useful to capture typical features of traffic complexity. The covariance metric is very adapted to identify disorder in a set of speed vectors and can be applied for en route airspace (en route airspace is the airspace between airports). Similarly, the Koenig metric identifies easily the curl movement organizations and can be applied to areas around airports where air traffic control procedures impose turns on aircraft trajectories.

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Traitement du signal et des images / Systèmes de communication aéronautiques et Localisation et navigation

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