A generalized Cramér-Rao lower bound for moving arrays

By properly including the forward motion of the array in the signal model, improved bearing estimation performance for a towed line array can be obtained. The improvement is a consequence of utilizing the bearing information contained in the Doppler. In this paper, it is shown by use of the Cramér-R...

Full description

Saved in:
Bibliographic Details
Published in:The Journal of the Acoustical Society of America 2009-02, Vol.125 (2), p.EL51-EL57
Main Author: Sullivan, Edmund J.
Format: Article
Language:English
Subjects:
Acoustic signal processing
Acoustics
Bayes Theorem
Computer Simulation
Doppler Effect
Exact sciences and technology
Fundamental areas of phenomenology (including applications)
Models, Theoretical
Motion
Physics
Pressure
Signal Processing, Computer-Assisted
Time Factors
Transducers, Pressure
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:By properly including the forward motion of the array in the signal model, improved bearing estimation performance for a towed line array can be obtained. The improvement is a consequence of utilizing the bearing information contained in the Doppler. In this paper, it is shown by use of the Cramér-Rao lower bound that, as the array moves forward, the variance on the bearing estimate for an array of pressure sensors decreases, and that if an array of pressure-vector sensors is used, a significant improvement over that obtained for the array using pressure sensors only is obtained.
ISSN:0001-4966
1520-8524
DOI:10.1121/1.3040020