DocumentCode :
3024115
Title :
Identification of reflection coefficients from noisy data by means of extended minimum variance estimators: A critical examination
Author :
Mendel, J.M.
Author_Institution :
University of Southern California, Los Angeles, California
fYear :
1979
fDate :
10-12 Jan. 1979
Firstpage :
402
Lastpage :
404
Abstract :
Recently, a new class of time-domain state space models has been developed (Ref. 1) to describe layered media systems. When layers are uniform, the resulting state equations are referred to as uniform causal functional equations (UCFE). An example of a UCFE is: x (t + ??) = Ax (t) + b [m(t) + w(t)] (1) where, for a K-layer system, x (t) is a 2K x 1 state vector comprised of K upgoing states and K downgoing states, m(t) is the source signature, w(t) is a random process which reflects uncertainty about our knowledge of m(t), and A and b are matrices (of appropriate dimensions) which are functions of reflection coefficients r0, r1,..., rK which characterize the system. Additionally, ?? is the one-way travel time for each layer. A surface measurement (i.e., seismogram) y(t), where y(t) = h´ x(t) + n(t) (2) is also assumed available. This measurement is corrupted by measurement noise, n(t) and is in terms of vector h which is also a function of some of the reflection coefficients.
Keywords :
Acoustic reflection; Equations; Inverse problems; Noise measurement; Nonhomogeneous media; Seismic measurements; State estimation; State-space methods; Time domain analysis; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location :
San Diego, CA, USA
Type :
conf
DOI :
10.1109/CDC.1978.267957
Filename :
4046144
Link To Document :
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