1. Introduction
Antenna measurements concerning the pattern representation of a source under test need to reduce the time devoted to the data collection for increasing the number of tests in the available time slot. This target can be accomplished in the far-field (FF) region as well as in the near-field (NF) volume surrounding the antenna under test (AUT) by adopting strategies, which allow: a) the reduction of the data to acquire and b) the adoption of non-conventional scanning techniques not requiring a step-by-step acquisition. The requirement a) can be satisfied by resorting to the theoretical results concerning the non-redundant sampling representation of the electromagnetic (EM) field [
1,
2] radiated by antennas, whereas on-the-fly data acquisition permitted by the continuous movements of positioners can be used to fulfill the requirement b).
A non-redundant sampling representation of the EM field radiated by the AUT permits to determine the field value at any observation point on surfaces in the NF or FF region by employing the minimum number of data [
1,
2] available on the same surface. Such data can be properly expended in optimal sampling interpolation (OSI) algorithms to recover the needed field values. Such a procedure is extremely convenient when dealing with NF data to be used in NF–FF transformation (NF–FF T) techniques [
3,
4,
5,
6,
7,
8,
9,
10,
11]; f.i., in the non-redundant NF–FF T techniques with plane-rectangular [
12,
13], plane-polar [
14,
15,
16,
17], and bi-polar [
18,
19] scannings, efficient OSI algorithms have been proposed to precisely recover the NF data necessary for the standard plane-rectangular NF–FF T technique [
20,
21].
Innovative and non-conventional NF spiral scans based on a Rahmat-Samii’s idea [
22] consent on-the-fly data gathering by adopting the continuous and synchronized movements of the positioners driving AUT and measuring probe. In particular, NF–FF Ts using sampling points on a planar spiral have been developed to reduce the acquisition time [
23,
24,
25,
26]. This reduction is accomplished accounting for the theory of the non-redundant sampling representations [
1,
2] and for the unified theory of the spiral scannings for volumetric [
27] and non-volumetric AUTs [
28,
29]. In fact, the number of spiral turns required to cover a given scanning area decreases since its step must satisfy the non-redundant sampling rule associated to a radial line, and the number of sampling points on the resulting spiral is the minimum one. It must be also emphasized that the percentage of reduction depends on the area of the closing surface Σ adopted to model the antenna [
1], f.i., by assuming as standard AUT modeling the spherical surface with radius equal to the AUT half-dimension, the numbers of spiral turns and sampling points decrease if an oblate spheroid, which is enclosed in the above spherical surface, is used as AUT modeling [
25,
26]. On the other end, a two-bowls (i.e., a surface formed by two circular bowls with the same aperture and lateral bends which may differ) can represent the best choice in the case of quasi-planar AUTs [
26], as it generally permits a better fitting of their shape.
The following question now arises. Is it possible to lower the number of spiral turns and the number of the corresponding samples points in the case of a flat AUT? The answer is described in next sections of this article, which is organized as follows. The theoretical analysis is given in
Section 2 by employing a disk with radius equal to the AUT half-dimension as AUT model.
Section 3 is devoted to numerical tests and comparisons with measured data. Conclusions are collected in
Section 4.
2. OSI Representation on A Plane From Spiral Samples
The proposed acquisition strategy is introduced in this Section, as well as the formulation of the innovative disk modeling for flat antennas and the related OSI formulas.
It is supposed to perform the characterization of a flat AUT by the means of a planar spiral NF facility, which acquires the NF voltages over a plane set at distance
d from it. Furthermore, it is assumed to adopt an electrically small, first order probe, namely a probe whose FF pattern has a first-order azimuthal dependence, to carry out the acquisition of the required data. Such an assumption will be properly exploited in the following. Moreover, it is also convenient to introduce a spherical and a Cartesian reference coordinate system,
and (
x,
y,
z), both with their centers at
O, to specify an observation point
P. Such a point can be identified on the scanning plane by the plane-polar coordinates
, as depicted in
Figure 1.
It is interesting to note as the voltage revealed at the output terminals of the considered scanning probe shows the same effective spatial bandwidth as the field [
15]. Such a property allows one to apply the results presented in [
1] also to the acquired voltage. Accordingly, a convenient representation of the voltage over any curve Γ of the plane, can be properly formulated by describing such a curve by an opportune parameter
ξ and referring to the “reduced voltage”
wherein
γ(
ξ) denotes an opportune phase function to be calculated and the voltage
V is equal to
Vφ(
ξ) or
depending on whether the probe is in the nominal orientation or rotated by π/2. According to [
1],
V is a function spatially quasi bandlimited to
. Anyhow, it can be very well approximated by a function bandlimited to
, by properly setting the excess bandwidth factor
which makes possible to control the aliasing error. It should be noted as a
-value a slight greater than one can be suitably used when dealing with the characterization of electrically large AUTs [
1].
By following the reasoning derived in [
28], it is possible to reconstruct the voltage distribution efficiently and accurately over the acquisition plane from a reduced set of NF data gathered on the spiral, by applying a 2-D OSI formula. The OSI scheme can be derived [
28] by enforcing that the spiral step is the same of the sampling spacing necessary to perform the interpolation on a radial line. After that, a suitable non-redundant sampling representation over this spiral is formulated.
As shown in [
1], the parameter to be employed to provide the optimal representation along radial lines, the associated phase function and spatial bandwidth are given by:
where
denotes the length of
(intersection curve between the meridian plane at the observation point
P and Σ), λ is the wavelength,
and
are the distances from
P to the tangency points
and
on such a curve, and
and
are their curvilinear abscissae.
The relations (2)–(4) are general and, to find their explicit expressions, it is necessary to specify the modeling surface Σ containing the AUT. It is important to highlight as the number
of samples at Nyquist rate on an arbitrary closed surface (even unbounded), which encircles the antenna, can be expressed as
Therefore, it is evident as, by properly choosing the antenna modeling, it is possible to minimize the overall amount of needed NF data. In fact, a convenient approach to cut the number of required NF samples is to minimize the area of the surface modeling the antenna, by choosing a geometry which must fit very well the source shape so reducing the volumetric redundancy.
As a result, when considering flat antennas, the modeling surface to which corresponds the smallest area is that of a disk with radius a equal to half their maximum size, as it is capable to shape as far as possible their geometry. It should be noticed that the NF data reduction achievable by using such a modeling is much greater than that resulting in such a case from the usage of the previously derived models for quasi-planar antennas (two-bowls or oblate spheroid), which involve a residual volumetric redundancy.
By shaping the AUT with a disk of radius
a, since (see Figure 2)
relations from (2) to (4) can be particularized as:
Figure 2.
Geometry relevant to a radial line.
Figure 2.
Geometry relevant to a radial line.
As shown in [
28], the spiral lying on the scanning plane can be achieved as projection through the curves at
ξ = constant (
Figure 3) of a spiral which wraps with a proper step the disk modeling the source.
This step must coincide with the sampling spacing necessary to carry out the interpolation along a radial line, namely
, where
,
, Int (
x) denotes the integer part of
x, and
is the oversampling factor to be used for controlling the truncation error [
1]. Therefore, the equations describing the acquisition spiral are:
wherein
φ denotes an angular parameter that allows to describe the spiral,
, and
ξ =
k φ. Now, as two successive intersections at
Q (
φ) and
Q (
φ + 2π) of the considered radial line with the spiral determine its step, then, it results
[
28]. At last, it is highlighted as the spiral angle
θ, at variance with the zenithal angle
ϑ, can be also negative, ranging. Furthermore, it is pointed out as the parameter
φ is always continuous, whereas the azimuthal angle
ϕ shows a discontinuity jump of π at the pole.
The unified theory of spiral scanning [28] is now exploited to develop the non-redundant representation on the spiral, namely, the optimal parameter
η and the related phase function
ψ. More in details, the parameter
η for representing the spiral path must be equal to
times the curvilinear abscissa of the projection point, which lies on the spiral which wraps the disk surface Σ. Furthermore, the associated phase function
ψ needs to be the same of the one (
γ) derived for a radial line. As concerns the spatial bandwidth
Wη, it can be suitably calculated by imposing that the parameter
η covers a 2π range when drawing the entire (closed) projecting spiral. Accordingly,
Wη results to be
times the length of the spiral that wraps the disk from pole to pole [
28].
In consideration of the aforementioned results, a fast and accurate way to reconstruct the voltage at the point
P, on the radial line at
ϕ, is to employ the following OSI formula [
25,
28]
where 2
q is the number of retained intermediate reduced voltage samples
, i.e. those in correspondence of the points of intersection of the acquisition spiral with the radial line passing through
P,
,
, and
,
are the sampling points. In equation (10),
is the OSI kernel function [
1,
28], wherein
is the Tschebyscheff sampling function,
being the
N degree Tschebyscheff polynomial, and
is the Dirichlet function.
By properly taking into account the non-redundant representation on the scanning spiral, is possible to determine [
25,
28] the intermediate reduced voltage samples
from the ones collected on the spiral through the OSI expansion:
where
, 2
p represents the number of considered NF samples on the spiral,
,
,
,
,
and the meaning of the other symbols is fairly similar to the ones in (10).
It is noteworthy that when applying the expansion (15) to recover the intermediate samples nearby the pole , even little changes of η entail large changes of the angular parameter φ. As a consequence, the bandwidth excess factor to be used in (15) must be locally suitably increased to prevent that the increase of the band-limitation error in this zone can impair the accuracy and the quality of the reconstruction.
The 2-D OSI expansion, allowing the evaluation of the voltage distribution on the plane from the non-redundant samples gathered on the spiral, is finally obtained by matching the 1-D expansions (10) and (15). It is conveniently exploited to recover the voltage value of
and
at the sampling positions of the regular Cartesian grid required for executing the NF–FF T [
21]. Unfortunately, the relations in [
21], accounting for the effects of the probe, enforce as entry the voltages
and
in order to be applied. This entails that is necessary to perform the co-rotation of the probe during the measurement stage, such that its axes are maintained parallel to those of the AUT. However, this “hardware” co-rotation can be avoided by using, as already mentioned, a probe radiating a FF pattern showing only an azimuthal dependence of the first-order as, e.g., it occurs with a very close approx imation for an open-ended rectangular waveguide excited by a
mode [
30]. As a matter of fact, in this case, the voltages
and
, which would be measured by the probe and the rotated one with co-rotation, can be calculated from the measured non-corotated ones,
and
, by simply applying the relations