Measurement distance effects on Bayliss difference patterns
Abstract
The effects of measurement distance in distorting low sidelobe difference patterns are examined. Previous calculations have used obsolete suboptimum aperture distributions. The Bayliss linear distribution is a versatile, highly efficient and robust optimum distribution; its use here allows a single curve of sidelobe measurement error versus measurement distance (normalized to farfield distance 2Dsquared/wavelength) for a given sidelobe level. Data are given for patterns from a uniform distribution to a 50 dB Bayliss. Difference patterns require slightly larger measurement distances than sum patterns. For example, the first sidelobe of a 40 dB Bayliss pattern is in error 1 dB at a distance of 7Dsquared/wavelength. The results should apply approximately for circular apertures as well.
 Publication:

IEEE Transactions on Antennas and Propagation
 Pub Date:
 October 1992
 DOI:
 10.1109/8.182453
 Bibcode:
 1992ITAP...40.1211H
 Keywords:

 Far Fields;
 Near Fields;
 Radar Antennas;
 Radar Range;
 Sidelobes;
 Synthetic Apertures;
 Iteration;
 Polynomials;
 Robustness (Mathematics);
 Taylor Instability;
 Communications and Radar