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Nonreciprocal Green’s function retrieval

by cross correlation

Kees Wapenaar

Department of Geotechnology, Delft University of Technology, P.O. Box 5028, 2600 GA Delft, The Netherlands c.p.a.wapenaar@tudelft.nl

Abstract: The cross correlation of two recordings of a diffuse acoustic wave field at different receivers yields the Green’s function between these receivers. In nearly all cases considered so far the wave equation obeys time-reversal invariance and the Green’s function obeys source-receiver reciproc-ity. Here the theory is extended for nonreciprocal Green’s function retrieval in a moving medium. It appears that the cross correlation result is asymmetric in time. The causal part represents the Green’s function from one receiver to the other whereas the acausal part represents the time-reversed version of the Green’s function along the reverse path.

© 2006 Acoustical Society of America

PACS numbers: 43.20.Bi, 43.60.Ac, 43.60.Tj 关ANN兴

Date Received: March 12, 2006 Date Accepted: June 13, 2006

1. Introduction

It has been shown by many researchers in geophysics, ultrasonics, and underwater acoustics that the cross correlation of acoustic wave fields recorded by two different receivers yields the response at one of the receiver positions as if there was a source at the other.1–7Various theories have been developed to explain this phenomenon, ranging from diffusion theory for enclosures,8,9multiple scattering theory and stationary phase theory for random media,10–12and reciprocity theory for deterministic and random media.13–15In nearly all cases it is assumed that the medium is lossless and nonmoving, which is equivalent with assuming that the underlying wave equation is invariant for time reversal. Moreover, in all cases the Green’s functions obey source-receiver reciprocity. The time-reversal invariance together with the source-receiver reci-procity property has been elegantly exploited in an intuitive derivation,16 building on earlier work on time-reversed acoustic focusing.17In a medium with losses the wave equation is no longer invariant for time reversal, but, as long as the medium is not moving, source-receiver reciprocity still holds. When the losses are not too high, the cross-correlation method yields a Green’s function with correct travel times and approximate amplitudes.18,19On the other hand, in a moving medium, both the time-reversal invariance and source-receiver reciprocity break down. It has previously been shown that, with some modifications, time-reversed acoustic fo-cusing can still work in a moving medium.20,21In this paper we derive a theory for nonrecipro-cal Green’s function retrieval by cross correlation in a moving medium.

2. Nonreciprocal Green’s function representation

The basis for our derivation is a reciprocity theorem, where “reciprocity” should be interpreted in a broader sense than source-receiver reciprocity. In general a reciprocity theorem relates two independent acoustic states in one and the same domain.22,23One can distinguish between reci-procity theorems of the convolution type and of the correlation type.24In the following we derive a correlation-type reciprocity theorem for a moving, arbitrary inhomogeneous, lossless acoustic medium, and show step-by-step how this leads to a simple expression for nonrecipro-cal Green’s function retrieval by cross correlation.

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comparison with those of the wave field. For this situation the equation of motion and the stress-strain relation read␳Dtvi+⳵ip = 0 andDtp +ivi= q, respectively, where q共x,t兲 is a source dis-tribution in terms of volume injection rate density,⳵iis the partial derivative in the xidirection, and Dtis the material time derivative,25defined as Dt=⳵t+ vk0⳵k. We define the temporal Fourier transform of a space- and time-dependent quantity p共x,t兲 as pˆ共x,兲=兰exp共−jt兲p共x,t兲 dt. In the space-frequency domain the equation of motion and the stress-strain relation thus become

共j+ vk0⳵k兲vˆi+⳵ipˆ = 0 and共j+ vk0⳵k兲pˆ+ivˆi= qˆ, respectively.

We introduce two independent acoustic states, which will be distinguished by sub-scripts A and B, and consider the following combination of wave fields in both states: pˆA*vˆi,B + vˆi,A* B, where the asterisk denotes complex conjugation. In the following we assume that the medium parameters and flow velocities in both states are identical; only the sources and wave fields are different共but a more general derivation is possible26兲. The correlation-type reciprocity theorem is obtained by applying the differential operator⳵i, according to⳵i兵pˆA

*

vˆi,B+ vˆi,A

*

pˆB其, sub-stituting the equation of motion and the stress-strain relation for states A and B, integrating the result over a spatial domain V with boundary S and outward pointing normal vector n =共n1, n2, n3兲 and applying the theorem of Gauss. This gives

V 兵qˆA*pˆB+ pˆA*qˆB其d3x =

S 兵pˆA*vˆi,B+ vˆi,A* pˆB其nid2x +

V vk0兵␬⳵k共pˆA*B兲 +␳⳵k共vˆi,A* i,B兲其d3x. 共1兲 This relation is independent of the choice of S; moreover, the medium and flow velocity can be inhomogeneous inside as well as outside S. In comparison with the convolution-type reciproc-ity theorem, Eq.共1兲 is remarkably simple. The convolution-type theorem can only be simplified to a form similar to Eq.共1兲 by choosing opposite flow velocities in the two states.26–29In the correlation-type theorem of Eq.共1兲 the flow velocities in both states are identical.

Next we choose impulsive point sources in both states, according to qˆA共x,␻兲=␦共x − xA兲 and qˆB共x,␻兲=␦共x−xB兲, with xAand xBboth in V. The wave field in state A can thus be expressed in terms of a Green’s function, according to

pˆA共x,兲 = Gˆp,q共x,xA,␻兲, 共2兲

vˆi,A共x,兲 = Gˆi v,q共x,x

A,␻兲. 共3兲

The superscripts refer to the observed wave field quantity at x and the source type at xA, respec-tively. Similar expressions hold for the wave field in state B. Substitution into Eq.共1兲 gives

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I4=

V

vk0␳⳵k关兵Gˆiv,q共x,xA,␻兲其*Gˆiv,q共x,xB,␻兲兴d3x. 共8兲 Equations共4兲–共8兲 show how the Green’s function in a medium with flow can, in principle, be obtained from cross correlations of Green’s functions in the same medium. However, applica-tion of these equaapplica-tions requires the measurements of different types of Green’s funcapplica-tion. In the following we make a number of approximations which make these expressions suited for prac-tical applications.

First we assume that the medium at and outside S is homogeneous, so that the Green’s functions in I1and I2represent outgoing waves at S. Moreover, we assume that the flow velocity at S is small in comparison with the propagation velocity c, i.e.,兩vk0nk兩/cⰆ1. We express the Green’s function Gˆiv,qin terms of Gˆp,qusing the approximation Gˆ

i v,qn

i⬇共1/␳c兲Gˆp,q. This is the high-frequency approximation for a normally outward propagating ray in a nonflowing me-dium. It involves an amplitude error for non-normal outward propagating rays in a flowing medium, but it handles the phase correctly共in the high-frequency regime兲. By using this ap-proximation we avoid the need of determining the inhomogeneous propagation and flow mod-els, tracing the rays and computing the propagation angles at S. With this approximation we find30

I1⬇ I2⬇

1

c

S

*共x,xA,␻兲Gˆ共x,xB,␻兲d2x. 共9兲 Here and in the following Gˆ stands for Gˆp,q. To show that I3and I4are small, we assume that the

spatial variations of the medium parameters共as well as those of the flow velocity兲 are small in comparison with those of the wave field. Using the theorem of Gauss and␬= 1 /␳c2we may thus rewrite I3as I3⬇ 1 ␳c

S *共x,xA,␻兲Gˆ共x,xB,␻兲 vk0nk c d 2x. 共10兲

Using the aforementioned assumption兩vk0nk兩/cⰆ1 we thus find I3ⰆI1. In a similar way we find

I4ⰆI1. In the following we replace the right-hand side of Eq.共4兲 by 2I1, with I1approximated

by Eq.共9兲.

Next we interchange the source and receiver coordinates in the Green’s functions. Ac-cording to the flow reversal theorem26–29this is allowed if we simultaneously revert the flow direction, i.e., if we replace vk0共x兲 by −vk0共x兲. We apply this to all Green’s functions in Eq. 共4兲, with the right-hand side approximated by 2I1, hence

Gˆ 共xB,xA,␻兲 + Gˆ*共xA,xB,␻兲 ⬇ 2

c

SG ˆ*共x

A,x,兲Gˆ共xB,x,␻兲d2x, 共11兲 where all Green’s functions are now defined in a medium with flow velocity −vk0共x兲. The minus sign is not important; what matters is that the flow velocity is the same for all Green’s functions in this equation. From here onward we define wk0共x兲=−vk0共x兲 as the actual flow velocity. Hence, Eq.共11兲 applies to the actual situation and, with hindsight, Eqs. 共4兲–共10兲 apply to the situation with the reversed flow velocity −wk0共x兲.

Applying an inverse Fourier transform to Eq.共11兲 yields G共xB,xA,t兲 + G共xA,xB,− t兲 ⬇

2

c

S

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respectively, due to impulsive sources of volume injection rate at x on S; the integration takes place along the source coordinate x. The left-hand side is the superposition of the response from xAto xBand the time-reversed response from xBto xA. Note the similarity with the expressions for the situation of a nonmoving medium.13–16,30,31However, unlike for the situation of a non-moving medium, our result is asymmetric in time. G共xB, xA, t兲 is obtained by taking the causal part of the left-hand side of Eq.共12兲, G共xA, xB, t兲 by time-reverting the acausal part.

Until now we assumed that the sources on S are impulsive point sources, of which the responses are measured independently. Let us now consider noise sources N共x,t兲 that act simul-taneously for all x on S. For the observed wave field at xA we write pobs共xA, t兲 =.SG共xA, x , t兲ⴱN共x,t兲d2x; a similar expression holds for the observed wave field at xB. We assume that any two noise sources N共x,t兲 and N共x

, t兲 with x⫽x

are uncorrelated and that their autocorrelation C共t兲 is independent of x. Hence, we assume that the source distribution on S obeys the relation 具N共x,−t兲ⴱN共x

, t兲典=共x−x

兲C共t兲, where 具·典 denotes a spatial ensemble average.6,12–16Equation共12兲 can thus be rewritten as

兵G共xB,xA,t兲 + G共xA,xB,− t兲其 ⴱ C共t兲 ⬇ 2

c具p

obs共x

A,− t兲 ⴱ pobs共xB,t兲典. 共13兲 According to this equation the cross correlation of the observed noise fields at xAand xBin a moving medium yields the Green’s function from xAto xBplus the time-reversed Green’s func-tion from xBto xA, convolved with the autocorrelation of the noise sources. Note the resem-blance with the retrieval of the Green’s function in a diffuse wave field in a nonmoving medium.4–16Again the main difference is the temporal asymmetry of the correlation result in a moving medium versus the symmetry of that in a nonmoving medium.

3. Numerical example

We illustrate Eq.共13兲 with a 2-D numerical example. Consider a homogeneous medium with propagation velocity c = 350 m / s and a constant flow in the x1 direction, with flow velocity w10= 70 m / s共see Fig. 1兲. Hence, the Mach number, defined as M=w10/ c, equals 0.2. Following a similar derivation as for the 3-D situation28 we obtain for the 2-D Green’s function Gˆ 共x,xA,␻兲=␳共j+ w10⳵1兲Gˆ共x,xA,␻兲, with

Fig. 1. Two receivers at xAand xBin a moving medium with constant flow velocity. The receivers are surrounded by

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Gˆ = −j exp共j␻M共x1− x1,A兲/c共1 − M2兲兲

4

1 − M2 H0

共2兲

R

c共1 − M2兲

, 共14兲

where R =

共x1− x1,A兲2+共1−M2兲共x2− x2,A兲2 and H0

共2兲is the zeroth-order Hankel function of

the second kind. Using this expression we model the response of 360 uncorrelated noise sources on a circle with a radius of 470 m共the noise is filtered around a central frequency of 30 Hz兲. We consider two receivers at xAand xB, separated by a distance d = 210 m, each registering 9600 s of noise. In the first instance the line through xAand xBis aligned with the flow velocity, hence␾in Fig. 1 equals zero. The cross correlation of the noise regis-trations, i.e., the right-hand side of Eq.共13兲, is represented by the first trace in Fig. 2共b兲 共at

␾= 0兲. The numerical experiment is repeated for different angles␾between the flow ve-locity and the line through xAand xB; the cross-correlation results are represented by the other traces in Fig. 2共b兲. The Green’s functions convolved with C共t兲 in the left-hand side of Eq. 共13兲 are shown for the same range of angles␾ in Fig. 2共a兲. For ␾= 0 the traveltime of the causal and acausal Green’s functions are given by d / c共1+M兲=210/420=0.5 s and −d / c共1−M兲=−210/280=−0.75 s, respectively. For ␾= 90° the travel times are ±d / c

1 − M2= ± 0.612 s. Note that the travel times of the cross-correlation results

accu-rately match those of the Green’s functions for all angles␾. The amplitudes of the Green’s functions are less accurately recovered by the cross-correlation procedure共see Fig. 3兲. The amplitude errors are explained as follows. The main contributions to the integrals come from those sources on the circle where the line through xAand xBintersects the circle12,30 共see Fig. 1兲. Ignoring I3and I4with respect to I1and I2introduces a relative amplitude error

in the order of −vk0nk/ c = w10n1/ c, with n1= −cos␾共see Fig. 1兲. Evaluated as a function of␾ we thus find for the relative amplitude error w10n1/ c = −0.2 cos␾, which is approximately

what we observe in Fig. 3. 4. Conclusion

We have shown that the nonreciprocal Green’s function in a moving medium can be recovered from cross correlations of impulse responses关Eq. 共12兲兴 or noise measurements 关Eq. 共13兲兴 at two receivers. The sources are assumed to be distributed along an arbitrary surface enclosing the two receivers. Unlike in the situation of a nonmoving medium, the cross-correlation result is asymmetric in time. The theory holds for a lossless arbitrary inhomogeneous medium with stationary inhomogeneous flow. The main underlying assumptions共in addition to those for a nonmoving medium兲 are that the spatial variations of the flow velocity are small in comparison with those of the wave field and that the flow velocity is small in comparison with the propaga-tion velocity共small Mach number兲. The cross-correlation method accurately recovers the travel

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times of the nonreciprocal Green’s function. When the autocorrelation of the sources is known, the amplitudes are recovered with relative errors that are in the order of the Mach number. This error is negligible in comparison with the amplitude error that occurs when the sources are unknown. Hence, for practical situations共unknown source amplitudes, irregular source distri-bution, etc.兲, the accuracy of the retrieved nonreciprocal Green’s function in a moving medium is of the same order as that of the retrieved reciprocal Green’s function in a nonmoving medium. References

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