A cognitive diversity framework for radar target classification
  Classification of targets by radar has proved to be notoriously difficult
with the best systems still yet to attain sufficiently high levels of
performance and reliability. In the current contribution we explore a new
design of radar based target recognition, where angular diversity is used in a
cognitive manner to attain better performance. Performance is bench- marked
against conventional classification schemes. The proposed scheme can easily be
extended to cognitive target recognition based on multiple diversity
strategies.
