Robust signal parameter estimation in the presence of array perturbations
1991 (English)In: Proceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing, 1991, Vol. 5, no Piscataway, NJ, United States, 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 small array perturbations. A compact expression for the MAP Cramer-Rao bound (CRB) on the signal and array parameter 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
1991. Vol. 5, no Piscataway, NJ, United States, 3277-3280 p.
Decision Theory and Analysis, Direction Finding Systems - Sensors, Mathematical Techniques - Estimation, Signal Detection - Sensors, Direction of Arrival Estimation, Parameter Estimation, Sensor Arrays, Spectral Analysis, Signal Processing
IdentifiersURN: urn:nbn:se:kth:diva-55432OAI: oai:DiVA.org:kth-55432DiVA: diva2:471590
1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91. Toronto, Ont, Canada. 14 May 1991 - 17 May 1991
QC 20120104. Sponsors: IEEE Signal Processing Soc2012-01-022012-01-022013-09-05Bibliographically approved