Citation

Abstract

This article presents an analysis of the scalloping problem for the case of Gaussian noise statistics, We derive the optimal weighting strategy for linearly combining two observations in adjacent beam areas, and compare the sensitivity and scalloping for this weighting strategy with that realized using a single observation or using equal weighting of two observations. We also calculate the variation of the probability for detecting ETI signals with scan separation for the various weighting strategies, assuming that the transmitters are of equal strength and are uniformly distributed throughout space.

Details

Volume
42-77
Published
May 15, 1984
Pages
151–158
File Size
589.0 KB