Publications [#66636] of Jeffrey L. Krolik

Papers Published

1. Kraut, S. and Krolik, J., Application of maximal invariance to the ACE detection problem, Conference Record of the Asilomar Conference on Signals, Systems and Computers, vol. 1 (2000), pp. 417 - 420, Pacific Grove, CA [ACSSC.2000.910989]
   (last updated on 2007/04/16)

   Abstract:
   Three simple adaptive detection statistics frequently appearing in the radar detection literature, which employ a sample covariance estimate for clutter suppression, are Kelly's GLRT, the adaptive matched filter (AMF), and the adaptive cosine estimator (ACE), which is also a GLRT, for the problem where the test-data power level is unconstrained relative to the training data. Bose and Steinhardt found a two-dimensional maximal invariant statistic for the adaptive detection problem for which Kelly's statistic is a GLRT, a one-to-one function of the Kelly GLRT and the AMF. We extend this maximal-invariant framework to the adaptive detection problem for which ACE is a GLRT, showing that ACE is a one-dimensional maximal invariant.

   Keywords:
   Interference suppression;Signal detection;Cosine transforms;Invariance;