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Chapter 10

Spatial sound reproduction by wave field synthesis

An ideal spatial sound reproduction technique and system should be able to reconstruct a target sound field within a large region. In this process, a listener receives correct spatial information when he/she enters the reconstructed sound field. Therefore, this ideal reproduction technique shows potential for application in a large listening region and favors sound reproduction in halls.

In Chapter 9, basic methods and concepts of sound field reconstruction are introduced, and the reconstructed sound field of Ambisonics is analyzed in detail. A moderate-order Ambisonics can reconstruct a target sound field only within a small region and at low frequencies unless a higher-order Ambisonics is used. This reconstruction is the consequence of Shannon–Nyquist spatial sampling theorem. Even for conventional multichannel sounds in which psychoacoustic principles have been incorporated to simplify the system, the listening region is usually small unless a system with a number of channels and loudspeakers are used (Section 3.1).

Wave field synthesis (WFS) is another sound field-based technique and system that aims to reconstruct a target sound field in an extended region. In this chapter, WFS is described in detail and analyzed within the framework of the general formulations of sound field reconstruction with multiple secondary sources. In Section 10.1, the basic principle and method, i.e., the traditional analyses of WFS, are presented. In Section 10.2, the general theory of WFS is discussed from the point of mathematical and physical analysis. In Section 10.3, the characteristics of WFS, especially spatial aliasing caused by a discrete secondary source array, are analyzed in the spatial spectrum domain. In Section 10.4, the relationship among acoustical holography, WFS, and Ambisonics is described. In Section 10.5, WFS equalization under nonideal conditions is discussed.

10.1  BASIC PRINCIPLE AND IMPLEMENTATION OF WAVE FIELD SYNTHESIS

10.1.1  Kirchhoff–Helmholtz boundary integral and WFS

WFS is physically based on the Huygens–Fresnel principle. According to this principle, every point (area element) on a wavefront is a secondary source of wavelets. These wavelets spread out in a forward direction at the same speed and frequency as the source wave. The new wavefront is a line tangent to all the wavelets. According to the Huygens–Fresnel principle, the original sound field can be reconstructed if signals of wavelets are captured by a microphone array arranged on the wavefront of the original sound field and then reproduced by a secondary source (loudspeaker) array with the same distribution as that of the microphone array. However, the wavefront of the original sound field is usually unknown in advance. In practice, signals in the original sound field are captured by a microphone array arranged on a fixed

DOI: 10.1201/9781003081500-10

439

440  Spatial Sound

boundary surface (or curve) and then reproduced by the corresponding secondary source array. This principle is the basic concept of wavefront reproduction technique and system.

At the early stage of spatial sound, a primitive technique based on the Huygens–Fresnel principle was proposed for sound field recording and reproduction. For instance, in the work at Bell Labs in the 1930s, an “acoustic curtain” (array in vertical plane) of pressure (omnidirectional) microphones in front of a stage was suggested for recording wavefronts; the signals were then reproduced through a loudspeaker array with the same configuration as that of the microphone array on the receiver side (Steinberg and Snow, 1934; Snow, 1953). Through the simplification of the “acoustic curtain,” twoand three-channel-spaced microphone techniques have been developed, as described in Section 2.2.3. After simplification, the reproduced sound field is greatly different from the sound recorded and reproduced by an “acoustic curtain.” Olson (1969) also recommended using 15 microphones arranged in a close horizontal curve to record the sound field and then reproduce signals with the corresponding loudspeaker configuration. Of the total number of microphones, seven are frontal microphones for recording the direct sound from the stage, and eight are lateral and rear microphones for recording the reflections of halls.

These previous studies only suggested the conceptual method of recording and reconstructing the wavefront of a sound field without strict mathematical and physical justification. They also did not derive the required radiation characteristics and driving signals of secondary sources. Since 1988, Berkhout (1988), Berkhout et al. (1993) and the group at Delft University of Technology have conducted a series of pioneering works on wavefront reconstruction (Boone et al., 1995; Vries, 1996, 2009). The technique and principle of WFS were developed on the basis of the principle of acoustical holography (Williams, 1999), and the radiation characteristics and driving signals of secondary sources were derived. Since the 1990s, WFS has been recognized as an interesting topic in spatial sound technique. As a part of the research on creating interactive audiovisual environments, numerous works on WFS under the framework project of EC IST CARROUSO have been conducted by European groups (Brix et al., 2001). Since then, theory of WFS has been greatly improved (Spors et al., 2008; Ahrens 2012).

Mathematically, the Huygens–Fresnel principle is described by Kirchhoff–Helmholtz boundary integral equation. As illustrated in Figure 10.1, the frequency-dependent sound pressure P(r, f) in an arbitrary source-free and closed space V′ is determined by the pressure and its normal derivative on the boundary surface S′ of V′:

 

P r , f

3D

Gfree3D r, r , f

P r, f

 

 

Gfree r, r , f P r , f

 

 

n

n

 

 

 

dS r V , (10.1.1)

S

where f is the frequency; r and r′ are the vector of the receiver position inside V′ and the vector of a point on the boundary surface S′, respectively; and ∂/∂n′ is an inward-normal derivative on the surface of S′. The integral is calculated over the entire boundary surface S′. Gfree3D r, r , f is free-field Green’s function in a three-dimensional space (and frequency domain) expressed in Equation (9.2.2), which represents the sound pressure at the receiver position r caused by a monopole point source at position r′ with the unit strength

Gfree3D r, r , f Gfree3D |r r |, f

 

 

 

 

 

 

 

1

exp

 

jk

 

r r

 

 

 

(10.1.2)

 

4 |r r |

 

 

 

 

 

1

 

jk|r r | .

 

 

4 |r r |exp

 

 

Spatial sound reproduction by wave field synthesis 441

Figure 10.1 Sketch of Kirchhoff–Helmholtz integral.

In Equation (10.1.1), the normal derivative of Green’s function is calculated by

Gfree3D r, r , f

 

1 jk |r r |

r r n

 

 

 

 

 

 

 

 

 

 

 

2

 

 

 

 

 

 

 

 

 

n

 

4

 

r r

 

 

|r r

|

exp

jk

 

r r

 

 

 

 

 

 

 

 

 

(10.1.3)

 

 

1 jk |r r |

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

cos

 

exp

 

jk |r r

|

,

 

 

 

4

 

r r

2

 

 

rn

 

 

 

 

 

 

 

 

 

where n′ is a unit vector in the inward-normal direction at r′ on S′; and (r r′)/| r r′ | is a unit vector pointing from r′ to r. Equation (10.1.3) describes the sound pressure at r caused by a dipole source with unit strength and at r′, with the main axis of the dipole source pointing to the n′ direction. θr n is the angle between vectors (r r′) and n′.

According to Equation (3.2.11), ∂P(r′,f )/∂n′ is directly proportional to the medium velocity component in the inward-normal direction of surface S′:

P r , f

j2 f 0Vn r , f .

(10.1.4)

n

 

 

Equation (10.1.1) and the discussion above indicate that the closed boundary surface can be equivalent to the continuous distribution of two types of secondary sources, i.e., monopole (point) and dipole secondary sources on the surface. The strength of monopole secondary sources is directly proportional to the derivative of pressure in the outward-normal direction (or an equally medium velocity component in the inward-normal direction) of S′. The strength of the dipole secondary source is directly proportional to the pressure on the surface S′. Therefore, the pressures and medium velocity on a closed surface S′ in the original sound fields can be captured by uniform and continuous arrays of pressure (omnidirectional) and velocity field (bidirectional) microphones, respectively. The outputs of these two microphone

442  Spatial Sound

arrays are used as driving signals of the corresponding dipole and monopole secondary source arrays arranged on the closed boundary surface of the receiver space to reconstruct the target sound field. As stated in Section 1.2.5, however, practical velocity field microphones are designed so that their magnitude responses are independent of the frequency of a far-field incident plane wave. These velocity field microphones cannot be used directly to capture the medium velocity on the boundary surface. In practice, the pressure and its inward-normal derivative on a boundary surface in the original sound field can also be evaluated through calculation and simulation, and the microphone array for recording in the original sound field is unnecessary. This description is the basic principle of sound reproduction via an acoustical holographic technique. Some terms used in this chapter should be explained. The acoustical holographic technique or acoustical holography usually refers to techniques and systems based on accurate Kirchhoff–Helmholtz boundary integral and accurate sound field reconstruction. From the point of practical uses, the results of Kirchhoff–Helmholtz boundary integral should be simplified. WFS usually refers to a specified technique and system based on an approximation of the Kirchhoff–Helmholtz boundary integral. As in the case of Chapter 9, when acoustical holography and WFS are analyzed, the terms secondary source and driving signals are used.

The following problems should be considered to transform from ideal acoustical holography to practical WFS.

1. Simplification of the types of secondary sources

A complete acoustical holography requires two types of secondary sources with different radiation characteristics, e.g., monopole and dipole sources. In practice, one type of secondary sources alone is preferred. Therefore, the types of secondary sources should be simplified.

2. Simplification of spatial dimensionality in reproduction

Sound information reproduction in a three-dimensional space requires a three-dimen- sional secondary source array arranged on the closed boundary surface S′ of volume V′ and thus requires a large number of secondary sources. Numerous secondary sources are usually impractical. Moreover, secondary sources arranged on a closed surface are often in conflict with visual requirements of many practical applications. In this case, spatial dimensionality in reproduction should be reduced to simplify the secondary source array.

3Discrete and finite secondary source array

An ideal WFS requires a continuous array with an infinite number of secondary sources. However, a discrete and finite array of secondary sources is available in practical WFS. This discrete array leads to a spatial aliasing error, and a finite array causes an edge diffraction effect in the reconstructed sound field.

These problems are addressed in Sections 10.1.2 to 10.1.5 from the point of the practical implementation of WFS.

10.1.2  Simplification of the types of secondary sources

According to Equation (10.1.1), acoustical holography requires secondary source arrays of monopole and dipole types. The system can be simplified when an array of either monopole or dipole secondary sources is enough to reconstruct the target sound field. As illustrated in Figure 10.2, a target (primary) source is located on one (the left) side of an infinite (vertical) plane S1. A source-free half-space V′ of the receiver is located on another side (right side) of the plane S1. The plane S1 and the hemispherical surface S2 with an infinite radius on the

Spatial sound reproduction by wave field synthesis 443

Figure 10.2 Sketch of a secondary source array arranged in an infinite vertical plane.

receiver side constitute a closed boundary surface S′. The integral over S′ in Equation (10.1.1) involves the integral over S1 and S2. Equation (10.1.1) is simplified as the integral over plane S1 only because the integral over S2 vanishes:

P r, f

S

1

 

P r , f 3D

Gfree3D r, r , f

 

 

 

Gfree r, r , f P r , f

 

dS .

(10.1.5)

n

n

 

 

 

Therefore, the infinite plane S1 divides the space into two parts. When the target source is located on one side of S1, continuous and uniform secondary source arrays arranged in S1 can exactly reconstruct the target sound field on an entire half-space of the receiver side of the array.

In the infinite plane S1, Equation (10.1.5) can be calculated using Rayleigh integrals (Williams, 1999; Ahrens, 2012). The Rayleigh integral of the first type yields

P r, f 2

P r , f

3D

 

 

Gfree r, r , f dS .

(10.1.6)

n

S

1

In Equation (10.1.6), the integral associated with the normal derivative of Green’s function vanishes, and the integral associated with Green’s function is twice of that in Equation (10.1.5).

If the Rayleigh integral of the second type is used, Equation (10.1.5) becomes

P r, f 2 P r , f

Gfree3D

r, r , f

dS .

(10.1.7)

 

n

S

1

In Equation (10.1.7), the integral associated with Green’s function vanishes, and the integral associated with the normal derivative of Green’s function is twice of that in Equation (10.1.5).

Equations (10.1.6) and (10.1.7) indicate that an array of either monopole or dipole secondary sources arranged in an infinite vertical plane is enough to reconstruct the target sound field in the entire half-space of the receiver side of the array. In this case, the type of secondary sources for WFS is simplified. In practice, monopole secondary sources are relatively simple and approximately realized by usual loudspeaker systems. Accurate sound field can be reconstructed with an array of a single type of secondary sources only in a few secondary source configurations.