Robust Signal Parameter Estimation in the Presence of Array Perturbations
1991 (English)In: Proc. of 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991. ICASSP-91., IEEE , 1991, 3277-3280 p.Conference paper (Refereed)
Signal parameter estimators which are less sensitive to perturbations in the array manifold are presented. A parametrized stochastic model for the array uncertainties is introduced. The unknown array parameters can include the individual gain and phase responses of the sensors as well as their positions. Based on this model, a maximum a posteriori (MAP) estimator is formulated. This results in a fairly complex optimization problem which is computationally expensive. The MAP estimator is simplified by exploiting properties of the weighted subspace fitting method. An approximate method that further reduces the complexity is also presented, assuming smallarray perturbations. A compact expression for the MAP Cramer-Rao bound (CRB) on the signal and arrayparameter estimates is derived. A simulation study indicates that the proposed robust estimation procedures achieve the MAP-CRB even for moderate sample sizes.
Place, publisher, year, edition, pages
IEEE , 1991. 3277-3280 p.
Array signal processing, Frequency estimation, Parameter estimation, Phased arrays, Robustness, Sensor arrays, Sensor phenomena and characterization, Sensor systems, Stochastic processes, Uncertainty
IdentifiersURN: urn:nbn:se:kth:diva-92638DOI: 10.1109/ICASSP.1991.150153OAI: oai:DiVA.org:kth-92638DiVA: diva2:514161
1991 International Conference on Acoustics, Speech, and Signal Processing, 1991. ICASSP-91. 14-17 Apr 1991, Toronto, Ont.
NR 201408052012-04-052012-04-052013-09-05Bibliographically approved