Sanity check: Near-field to far-field transformation
时间:03-30
整理:3721RD
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Dear forum,
I would like to do a sanity check on a near-field to far-field transform problem that I am struggling with. I have some planar recorded near-field data and would like to transform these data to far-field data and subsequently depict the field in spherical coordinates as E(r, theta, phi) where r is the radius, theta is the space-angle (?) and phi is the planar angle. All this should be done using Matlab. My coordinate system is such that the planar data is the x-y plane and the direction of propagation is in the z-direction, hence the planar angle is measured from the positive x-axis and counter clockwise and the space-angle is measured from the positive z-axis.
Now, the data I have at hand is recorded (actually simulated) in front of a pyramidal horn excited in the TE_10 dominant mode. Simply, this emulates a planar grid-sampling of the near-field data.
The transformation should be done using the least amount of approximations possible and I assume that this would be by going about it the following way:
The recorded samples should be converted to a Plane Wave Spectrum (PWS) using the following expression:
The next operation to perform is to convert or map these data points from the PWS to spherical coordinates by using:
The coordinate mapping originates from this definition:
The final operation to be done is to integrate to the far-field in spherical coordinates:
Where am I getting it right and where am I getting it wrong here?
Any help and/or comments is deeply appreciated!
Best Regards,
I would like to do a sanity check on a near-field to far-field transform problem that I am struggling with. I have some planar recorded near-field data and would like to transform these data to far-field data and subsequently depict the field in spherical coordinates as E(r, theta, phi) where r is the radius, theta is the space-angle (?) and phi is the planar angle. All this should be done using Matlab. My coordinate system is such that the planar data is the x-y plane and the direction of propagation is in the z-direction, hence the planar angle is measured from the positive x-axis and counter clockwise and the space-angle is measured from the positive z-axis.
Now, the data I have at hand is recorded (actually simulated) in front of a pyramidal horn excited in the TE_10 dominant mode. Simply, this emulates a planar grid-sampling of the near-field data.
The transformation should be done using the least amount of approximations possible and I assume that this would be by going about it the following way:
The recorded samples should be converted to a Plane Wave Spectrum (PWS) using the following expression:
- f_y(k_x, k_y) = doubleintegralsum( E_ya(x,y,z=0)*exp(j*k_x*x+k_y*y))dxdy
- -"E_ya" is the sampled data and the _ya indicates that the data is linearly polarized in the y-direction. A similar double integral sum could be put in place if there was an x-polarized component present.
- "k_x" is the wavenumber in the x-direction given by k_x = sin(theta)*cos(phi)
- "k_y" is the wavenumber in the y-direction given by k_y = sin(theta)*sin(phi)
- The angles defined by theta and phi can be limited to the hemisphere of propagation, since this is a planar measurement and hence no data is recorded except in front of the antenna
- The double integral sum is taken over the limits or size of the sampling grid/plane
The next operation to perform is to convert or map these data points from the PWS to spherical coordinates by using:
- r = x*sin(theta)*cos(phi) + y*sin(theta)*sin(phi) + z*cos(phi)
theta = x*cos(theta)*cos(phi) + y*cos(theta)*sin(phi) - z*sin(theta)
phi = -x*sin(phi) + y*cos(phi)
- r = y*sin(theta)*sin(phi)
theta = y*cos(theta)*sin(phi)
phi = y*cos(phi)
The coordinate mapping originates from this definition:
The final operation to be done is to integrate to the far-field in spherical coordinates:
- E(r, theta, phi) = (1/(4*pi^2))*doubleintegralsum(PWS*exp(-j*k*r))dk_xdk_y
- k*r = r*[k_x*sin(theta)*cos(phi) + k_y*sin(theta)*sin(phi) + kz*cos(theta)]
which can be rewritten as
k*r = r*[k_x*sin(theta)*cos(phi) + k_y*sin(theta)*sin(phi) + sqrt(k^2 - k_x^2 - k_y^2)*cos(theta)]
and PWS is f_y(k_x,k_y) mapped to spherical coordinates. The double integral sum is taken over the angular limits of the hemisphere in the direction of propagation.
Where am I getting it right and where am I getting it wrong here?
Any help and/or comments is deeply appreciated!
Best Regards,