Analysis of low-pass filters consisting of multiple stacked FSS's of different periodicities with applications in the submillimeter radioastronomy.

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

3

Filters: Radio Astronomy

Scientific paper

A spectral domain approach is presented which allows multiple stacked frequency selective screens (FSS's) to be investigated. The analysis is exact if all arrays have the same periodicity or if a unit cell of finite extent valid for the whole FSS can be defined. Further, this approach can be used as a very efficient approximation for analyzing low-pass filters applied in radioastronomy and consisting of arrays with different periodicities, as long as the unit cell dimensions and the separation between the arrays are small small compared to the wavelength at the operating frequency. Numerical results for several FSS configurations are presented and compared with measured values.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Analysis of low-pass filters consisting of multiple stacked FSS's of different periodicities with applications in the submillimeter radioastronomy. does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Analysis of low-pass filters consisting of multiple stacked FSS's of different periodicities with applications in the submillimeter radioastronomy., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Analysis of low-pass filters consisting of multiple stacked FSS's of different periodicities with applications in the submillimeter radioastronomy. will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1559900

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.