Search Results - "Larzabal, P"

Refine Results
  1. 1

    RFI-aware and low-cost maximum likelihood imaging for high-sensitivity radio telescopes by Wang, J., Korso, M. N. El, Bacharach, L., Larzabal, P.

    Published in IEEE signal processing letters (01-01-2024)
    “…This paper addresses the challenge of interference mitigation and reduction of computational cost in the context of radio interferometric imaging. We propose a…”
    Get full text
    Journal Article
  2. 2

    Covariance Structure Maximum-Likelihood Estimates in Compound Gaussian Noise: Existence and Algorithm Analysis by Pascal, F., Chitour, Y., Ovarlez, J-P., Forster, P., Larzabal, P.

    Published in IEEE transactions on signal processing (01-01-2008)
    “…Recently, a new adaptive scheme [Conte (1995), Gini (1997)] has been introduced for covariance structure matrix estimation in the context of adaptive radar…”
    Get full text
    Journal Article
  3. 3

    Performance Analysis of Covariance Matrix Estimates in Impulsive Noise by Pascal, F., Forster, P., Ovarlez, J.-P., Larzabal, P.

    Published in IEEE transactions on signal processing (01-06-2008)
    “…This paper deals with covariance matrix estimates in impulsive noise environments. Physical models based on compound noise modeling [spherically invariant…”
    Get full text
    Journal Article
  4. 4

    A Fresh Look at the Bayesian Bounds of the Weiss-Weinstein Family by Renaux, A., Forster, P., Larzabal, P., Richmond, C.D., Nehorai, A.

    Published in IEEE transactions on signal processing (01-11-2008)
    “…Minimal bounds on the mean square error (MSE) are generally used in order to predict the best achievable performance of an estimator for a given observation…”
    Get full text
    Journal Article
  5. 5

    On the High-SNR Conditional Maximum-Likelihood Estimator Full Statistical Characterization by Renaux, A., Forster, P., Chaumette, E., Larzabal, P.

    Published in IEEE transactions on signal processing (01-12-2006)
    “…In the field of asymptotic performance characterization of the conditional maximum-likelihood (CML) estimator, asymptotic generally refers to either the number…”
    Get full text
    Journal Article
  6. 6

    On the Resolution Probability of MUSIC in Presence of Modeling Errors by Ferreol, A., Larzabal, P., Viberg, M.

    Published in IEEE transactions on signal processing (01-05-2008)
    “…The problem of resolving closely spaced signal sources using an antenna array remains a difficult one, although several estimation methods are available in the…”
    Get full text
    Journal Article
  7. 7

    On the asymptotic performance analysis of subspace DOA estimation in the presence of modeling errors: case of MUSIC by Ferreol, A., Larzabal, P., Viberg, M.

    Published in IEEE transactions on signal processing (01-03-2006)
    “…This paper provides a new analytic expression of the bias and RMS error (root mean square) error of the estimated direction of arrival (DOA) in the presence of…”
    Get full text
    Journal Article
  8. 8

    A New Barankin Bound Approximation for the Prediction of the Threshold Region Performance of Maximum Likelihood Estimators by Chaumette, E., Galy, J., Quinlan, A., Larzabal, P.

    Published in IEEE transactions on signal processing (01-11-2008)
    “…It is well known that the ML estimator exhibits a threshold effect, i.e., a rapid deterioration of estimation accuracy below a certain signal-to-noise ratio…”
    Get full text
    Journal Article
  9. 9

    Performance Prediction of Maximum-Likelihood Direction-of-Arrival Estimation in the Presence of Modeling Errors by Ferreol, A., Larzabal, P., Viberg, M.

    Published in IEEE transactions on signal processing (01-10-2008)
    “…This paper provides new analytic expressions for the root mean-square (RMS) error and bias of the maximum-likelihood (ML) direction-of-arrival (DOA) estimator…”
    Get full text
    Journal Article
  10. 10

    Improving the threshold performance of maximum likelihood estimation of direction of arrival by Krummenauer, R., Cazarotto, M., Lopes, A., Larzabal, P., Forster, P.

    Published in Signal processing (01-05-2010)
    “…We propose to improve the performance of some direction of arrival (DOA) estimators using array of sensors. We consider those maximum likelihood (ML)…”
    Get full text
    Journal Article
  11. 11

    Monopulse-radar tracking of swerling III-IV targets using multiple observations by Chaumette, E., Larzabal, P.

    “…This paper proposes a novel statistical prediction of monopulse errors (Levanon, 1988) for a radar Swerling III-IV target embedded in noise or noise jamming…”
    Get full text
    Journal Article
  12. 12

    Unconditional Maximum Likelihood Performance at Finite Number of Samples and High Signal-to-Noise Ratio by Renaux, A., Forster, P., Boyer, E., Larzabal, P.

    Published in IEEE transactions on signal processing (01-05-2007)
    “…This correspondence deals with the problem of estimating signal parameters using an array of sensors. In source localization, two main maximum-likelihood…”
    Get full text
    Journal Article
  13. 13

    On the influence of a detection step on lower bounds for deterministic parameter estimation by Chaumette, E., Larzabal, P., Forster, P.

    Published in IEEE transactions on signal processing (01-11-2005)
    “…A wide variety of actual processing requires a detection step, whose main effect is to restrict the set of observations available for parameter estimation…”
    Get full text
    Journal Article
  14. 14

    Cramér-Rao Bound Conditioned by the Energy Detector by Chaumette, E., Larzabal, P.

    Published in IEEE signal processing letters (01-07-2007)
    “…A wide variety of processing incorporates a binary detection test that restricts the set of observations available for parameter estimation and requires to…”
    Get full text
    Journal Article
  15. 15

    Threshold performance analysis of maximum likelihood DOA estimation by Forster, P., Larzabal, P., Boyer, E.

    Published in IEEE transactions on signal processing (01-11-2004)
    “…The purpose of this paper is to investigate the nonasymptotic behavior of the maximum likelihood method in the context of lacunar array processing. We derive…”
    Get full text
    Journal Article
  16. 16

    Joint ML calibration and DOA estimation with separated arrays by Ollier, V., El Korso, M. N., Boyer, R., Larzabal, P., Pesavento, M.

    “…This paper investigates parametric direction-of-arrival (DOA) estimation in a particular context: i) each sensor is characterized by an unknown complex gain…”
    Get full text
    Conference Proceeding Journal Article
  17. 17

    Simple robust bearing-range source's localization with curved wavefronts by Boyer, E., Ferreol, A., Larzabal, P.

    Published in IEEE signal processing letters (01-06-2005)
    “…In array processing, the far-field assumption of planar wavefronts is widely used by direction of arrival (DOA) estimators but not always satisfied. In this…”
    Get full text
    Journal Article
  18. 18

    First- and Second-Order Moments of the Normalized Sample Covariance Matrix of Spherically Invariant Random Vectors by Bausson, S., Pascal, F., Forster, P., Ovarlez, J.-P., Larzabal, P.

    Published in IEEE signal processing letters (01-06-2007)
    “…Under Gaussian assumptions, the sample covariance matrix (SCM) is encountered in many covariance based processing algorithms. In case of impulsive noise, this…”
    Get full text
    Journal Article
  19. 19

    A Useful Form of the Abel Bound and Its Application to Estimator Threshold Prediction by Renaux, A., Najjar-Atallah, L., Forster, P., Larzabal, P.

    Published in IEEE transactions on signal processing (01-05-2007)
    “…This correspondence investigates the Abel bound in order to predict the estimators mean square error (mse) threshold effect. A tractable and computationally…”
    Get full text
    Journal Article
  20. 20

    Parametric spectral moments estimation for wind profiling radar by Boyer, E., Larzabal, P., Adnet, C., Petitdidier, M.

    “…The purpose of this work is the estimation of Doppler echoes spectral moments. In case of strong overlapping, Fourier-like techniques provide poor results…”
    Get full text
    Journal Article