The least-squares inverse problem is formulated as follows.
Consider our observations consist of a set of constant offset scalar data
measured along the
receiver component direction.
A constant-offset l2 misfit energy functional can be defined as
![]() |
(67) |
where . The misfit error energy function (67)
attempts to fit the theoretical response
to the
observed data D, and will give minimum error for the optimal solution
of
and
. Recall that from (66):
![]() |
(68) |
Since U is a function of and
, which are the quantities we want to estimate from the data D,
we minimize (67) with respect to
and the geometric specular angle
, which leads to two coupled normal equations:
![]() |
(69) |
and
![]() |
(70) |
In general, these two coupled equations should be solved simultaneously
for and
. As that is rather complicated, we now
present a much simpler approximate approach.
The equations can be decoupled by the stationary
phase (high-frequency) approximation, in which the major contribution to
(68) occurs near the specular point when
.In this case, the
equation can be solved independently of
, and the result can be backsubstituted into the original
normal equation for
. It is important to note that by assuming the
generalized form of diffraction-reflection in (66), we have
derived two equations, one for each of
and
.
Now we will proceed to solve only the
equation under stationary phase,
and use the
result to solve the
equation. Had we started
with the assumption of specular reflection (stationary phase),
we would have had only one equation for specular
,
and no equation describing
! That is a very important
distinction.
The first step in the decoupling is to apply the method of stationary
phase to the
volume integral within the misfit error functional E of (67).
The phase component of the volume integral is
![]() |
(71) |
The stationary point of the phase with respect to the integration variable
is defined by the equation:
![]() |
(72) |
In particular,
![]() |
(73) |
where is the normal to the reflecting surface at the point
.Since
as in (20),
the stationary condition (73) is equivalent to:
![]() |
(74) |
which in turn is simply stating the law of specular reflection for
a wave at a reflecting boundary. In other words, the stationary point,
and hence the major contribution to the integral
of the misfit error functional, occurs at the condition of specular reflection,
when
. In this case, the misfit
error at stationarity reduces to:
![]() |
(75) |
Now the error misfit functional (75) is in standard linear form,
and can be solved for with a traditional Gauss-Newton gradient
optimization method. The solution for
should then be backsubstituted
into the
normal equation, and this decoupling should lead to
an l2 solution for
, which would not have been otherwise possible
had we started directly with the specular form (75).