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The representation of the elements of the [S]-matrix are dependent on
the polarization basis. Using the results from section 4.9, we can now derive from a given
[S]-matrix in {
} basis, the [S]-matrix for an arbitrary
basis {
} by an unitary congruence transformation [Lüneburg96]
|
(3.8) |
The scattering matrix components in the {
} basis, characterised by
the polarisation ratio , are then given by
Even though the elements of [S] change under the transformation some properties of the
[S]-matrix are invariant.
- a)
- The span of the matrix, defined as the quadratic sum
of its elements, corresponds to the total power, and is constant.
- b)
- [S] is symmetric in
any arbitrary polarization bases as long as the BSA convention [IEEE79] is used, hence the reciprocity
theorem yields than that the cross-polar components are equal.
- c)
- det([S]) is invariant because
.
Therefore, given a [S]-matrix for an arbitrary combination of transmit and receive polarizations,
it is possible to generate the [S]-matrix for any other arbitrary combination of transmit and
receive polarizations [Boerner90]. One of the common applications of this relation is the transformation from the linear
{
} basis to the circular {
} basis. For example, for the
investigations in [Krogager95a] the cirular basis is better suited and therefore, the [S] - matrix,
measured with two linear polarized antennas is transformed in the cirular basis .
The elements of the basis for the backscatter case are given by
If the polarization transformation properties of a target change moderately, one could envisage a radar which
dynamically adjusts the polarization in order to receive maximum power from a given target all the times [Boerner93], [Cysz91].
Such polarization tracking radars are, for instance, applied to achieve significant signal-to-clutter
enhancement and interference suppression [Poelman84].
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