Abstract:Two leading algorithms for resolving closely spaced objects (CSOi are discussed and their performance in terms of the probability of CSO resolution i s compared through computer simulation. Algorithms considered are the maximum likelihood (ML) estimation with Akaike criterion and deconvolution filter (DF) based upon autoregressive modeling of the system response function. Computer simulation shows that the ML estimation outperforms the DF method with respect to the probability of resolution on two CSO. However… Show more
Set email alert for when this publication receives citations?
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.