Figure 2

Examples for frequency-domain MUSIC with two targets are displayed in Fig.2. It is clear from this Figure that no range information is obtained from frequency-domain objective functionals, and even the cross-range information is often quite haphazard in random media. Lack of statistical stability prevents these imaging approaches from being useful in random media with significant multipathing as considered here. When the realization of the random medium is changed, the images obtained typically change also -- which is what we mean by the phrase ``lack of statistical stability'' for these methods. Note that this approach works well for homogeneous media, but quickly breaks down when randomness of the velocity field is important.

Figure 3

Examples for time-domain MUSIC with two targets are
displayed in Fig.3.
The cross-range results show dramatic improvement
over results using other methods (Berryman *et al.*, 2002).
Range information is still not to be found here, due to loss of
coherence in the random medium; we cannot get exact cancellation
at the targets in this situation whereas coherent refocusing
is possible in homogeneous media.
But the statistical stability of the universal ``comet tails''
-- which was also anticipated by recent theoretical analyses
(Blomgren *et al.*, 2002)
-- is now easily observed.
The images are necessarily shown for specific realizations, but the results
do not change significantly when the underlying realization
of the random medium is changed. This fact has been repeatedly shown
in our simulations, and is the main operational characteristic of
statistically stable methods.

Target localization requires an estimate of the range.
In the far field, only the arrival time information is useful for this
purpose.
Arrival time information is present in the singular
vectors and can also be averaged (for the same random medium)
using the multiple copies available
in the array response matrix for random media -- see Borcea *et al.* (2002)
-- to obtain very stable estimates of arrival times.
We will now combine this approach with the time-domain
methods to obtain well-localized images of the targets.

For each search point , we compute the objective functional

(8) |

(9) |

Figure 4

Examples of SAT (or time-domain MUSIC with arrival time estimates from the
averaged singular vectors) for two targets are
displayed in Fig.4. This method is statistically stable and
gives good estimates of the target locations. These localization
results have degraded the least of all those considered
(Borcea *et al.*, 2002; Berryman *et al.*, 2002)
at the highest values of the random fluctuations.

6/7/2002