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21 August 2008



Efficient Near-Field to Far-Field Transformation Techniques for Antenna Measurements

By Fernando Las-Heras and T.K. Sarkar
TechOnline
Mar 01, 2002
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ABOUT THE AUTHOR

Fernando Las-Heras received the M.S. degree in 1987 and the Ph.D. degree in 1990, both in Telecommunication Engineering, from the Universidad Politcnica de Madrid (UPM), Spain. Since 1991 he has held a position of Associate Professor in the Dept. of Signals, Systems and Radiocommunications at the UPM. He has participated in a number of R&D Projects and is the author of communications and papers regarding research topics in numerical methods applied to electromagnetics, high frequency methods for RCS estimation, analysis and design of antennas, and electromagnetic inverse problem with application to antenna measurement and synthesis.
 
This article addresses the Near-Field to Far-Field (NF-FF) transformation for antenna measurement, using an equivalent current representation with a matrix-method solution. The authors propose efficient techniques to improve numerical cost efficiency and accuracy, achieving improvement with equivalent magnetic currents and a specific coordinate representation. This technique, which the authors developed for cases of cylindrical and spherical scanning, leads to the decoupling of integral equations relating field and source components.


Introduction
Near-field systems are one of the main tools for antenna measurement and electromagnetic diagnosis. The use of equivalent currents representing the radiating system has been presented more recently in as an alternative for Near Field to Far Field (NF-FF) transformation. The intermediate step of reconstruction of equivalent currents has been also presented in and from spherical and cylindrical measurements. These techniques are based in the application of the equivalence theorem to any radiating structure to obtain equivalent currents in an unbounded medium.

However, the resultant large matrix equations, inherent to the resolution of the integral equations that relate current components and the field components, constitute a computational drawback in the methods based on equivalent currents. In an arbitrary acquisition, you cannot de-couple the integral equations relating equivalent current components and field components. They are directly de-coupled in the planar acquisition case, can be de-coupled in the cylindrical acquisition, but are coupled in the spherical acquisition.

Selecting an appropriate cylindrical system relating only equivalent magnetic sources and fields, we present a sequential solution procedure, where each integral equation can be solved for only one component of the sources. This results in a computationally efficient source reconstruction algorithm from the knowledge of electric-field components over a cylindrical surface. In addition, we present an efficient numerical procedure to calculate the equivalent currents representing the radiating structure from a spherical acquisition. The procedure is based on the use of two de-coupled integral equations"under consideration of zero value of the radial component of the electric field"solving each integral equation by model estimation. In order to overcome the applicability limitations derived from neglecting the radial electric field, this article presents an iterative algorithm that retrieves the radial component of the electric field.

Both algorithms are directly applicable to NF-FF transformation. This feature allows one to calculate the far-field pattern of the antenna under test from the tangential components of its near field, measured over cylindrical or spherical surfaces, which, in practice, are available in many near-field antenna-measurement facilities. We also show analytical and measurement results of far-field pattern calculation.


Equivalent Problem
The uniqueness theorem allows the representation, in a source-free region, of the radiated fields from some sources by a set of equivalent electric and magnetic currents over a surface S' enclosing the electromagnetic sources. If we consider the surface S' to be an infinite plane, you get an external equivalent problem (after substituting a perfect electric conductor and applying image theory for the inner medium) with only equivalent magnetic currents, , over a plane radiating in an unbounded medium.

In a homogeneous medium, the electric field radiated by a magnetic current density over S' can be obtained outside the sources by:

where is the propagation constant and l the wavelength.


Sequential Reconstruction for the Cylindrical Case
Consider a y-axis cylindrical-coordinate system with the z-axis perpendicular to the S'-plane. Figure 1 defines the proposed equivalent problem:

Figure 1: Equivalent problem with the equivalent currents on the XY-plane and a y-axis cylindrical representation of the electric-field components.

Under this configuration, the tangential field components in the cylindrical surface (Eg, Ey) are related to the magnetic current components over the S'-plane by:

where and Mx = Mx(x', y') and My = My(x', y') are the equivalent magnetic current components in the directions respectively. Initially, two integral equations arise and you have to solve the two components of the equivalent magnetic current distribution. However, you get a cost-effective solution by the sequential calculation of each of the equivalent current components in the following fashion:

  1. Solve the integral equation that relates Ey and Mx
  2. Insert the calculated value of Mx in the integral equations that relate the field component Eg and the current components My, Mx.

With this method, you only need to solve integral equations relating one field component and one current component.


Iterative Radial Field Retrieval for the Spherical Case
Figure 2 shows a spherical representation of the field components. Two scalar integral equations appear such that each angular component of the electric field depends on both Cartesian components of the equivalent magnetic current density.

Figure 2: Equivalent problem with the equivalent currents on the XY-plane and a spherical representation of the field components.

With this representation, many unknowns representing the equivalent magnetic currents are involved in the numerical solution of this system of integral equations.

However, we obtain two independent integral equations if we neglect the radial component of the acquired near field. Under this assumption, you can derive the Cartesian components of the electric field from the acquired angular electric-field components using the following approximation:

You can now apply integral equations relating Cartesian equivalent current components and Cartesian field components. The advantage of this technique is that you get two de-coupled integral equations, each of them relating one Cartesian component of the electric field and one set of Cartesian components of the equivalent magnetic current distribution. Using spherical coordinates to represent the angular field components and Cartesian components to represent the components of the equivalent magnetic current distribution over the S' plane:

Only half the number of unknowns of the conventional matrix representation are involved in solving each independent integral equation.

Sometimes, due to the size of the antenna, problem frequency, and maximum dimensions of the anechoic chamber, you cannot neglect the radial component of the electric field when using the Cartesian component of the electric field in the proposed formulation. A desired accuracy may also make this assumption valid or invalid for a particular measurement configuration. To account for the value of the radial component of the electric field when obtaining the field's Cartesian components from its angular components, we propose and implement an iterative algorithm for radial-field retrieval. Start with the value of the radial component at zero and perform an equivalent current reconstruction according with the formulation previously presented in this paper. Using these initial values, we calculate the equivalent magnetic current distribution from the electric field over the hemi-spherical scanning surface, replacing the zero radial component values by the calculated values. Now calculate the Cartesian components of the measured field using all spherical field components, perform a new source reconstruction step, and continue the iterative procedure until reaching some ending criterion. Summarizing the algorithm:

  1. Make an initial guess for the equivalent magnetic current components My, Mx.
  2. Obtain an initial zero value of the radial component of the electric field. The Cartesian components of the electric field Ex, Ey are obtained from the angular components Eq, Ef, supposing zero-value of the radial component.
  3. Reconstruct each source component, solving integral equations for My, Mx.
  4. Calculate of the radial component of the electric field Er from the magnetic current components My, Mx.
  5. Calculate the Cartesian components of the electric field Ex, Ey from the angular components Eq, Ef and the calculated radial component Er.
  6. Go back to Step 3.


Solving the Source Component-Field Component Integral Equations
Model estimation is used to numerically solve each of the integral equations, relating one field component and one magnetic current component. Let the measured data of one of the electric field components be represented by vector Y, and its correspondent theoretical evaluation, at all the scanning points, represented by the vector E = GM, where M is the vector with the discretized representation of the correspondent equivalent current component over the surface S'.

Defining a least-squares merit function:

a quadratic form in M is obtained:

where H is related with the Hessian matrix. Then, the optimization procedure to obtain M reduces to finding the minimum of the quadratic form. Deriving and setting to zero, the optimum values satisfying the above equation are given by:


Results
We used a nominal field distribution over a virtual aperture of 1m x 1m, at 3 GHz, with the following value:

to synthesize the near electric field over a cylindrical-surface hemi-cylindrical region defined by:

With the near-field data, we used the proposed cylindrical NF-FF to calculate the far-field data, comparing the results with the far-field data obtained directly from the nominal aperture distribution (Figure 3). The pattern on the left in Figure 3 shows the far-field data obtained directly from the nominal aperture. The pattern on the right in Figure 3 shows the far-field data calculated using the cylindrical NF-FF from the synthesized near-field data.

A panel of the ASAR antenna was measured out of the designed frequency band (2.225 GHz). The spherical scanning of this antenna is done at a distance of 5.5 m with a 2.5-degree spacing in both spherical coordinates. The results of the proposed spherical NF-FF transformation are shown in Figure 4 along with the results when using a spherical-wave expansion method such as the one used with the Sniftd software.

Figure 4: Phi = 0 co-polar pattern (dB) of the ASAR panel. This array antenna (24 x 16 elements, 4 cm spacing) was measured at 2.225 GHz, out of the designed frequency band.


Conclusions
To summarize, we implemented an efficient matrix method for NF-FF transformation, in terms of decoupling integral equations relating source components over a planar domain and field components, for the case of cylindrical and spherical scanning. The source reconstruction techniques inherent in the method assists in the calculation of aperture fields in some type of antennas and may help with system diagnostics. Our results have shown an accuracy comparable to standard wave transformation methods.

This work was partially supported by the DGES of the Ministerio Educacin y Cultura, Spain, under grant PB97-0573.




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