IEEE SIGNAL PROCESSING LETTERS, vol.21, no.4, pp.464-468, 2014 (SCI-Expanded)
Article / Article
IEEE SIGNAL PROCESSING LETTERS
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Middle East Technical University Affiliated:
A marginal version of the enumeration Bayesian Cramer-Rao Bound (EBCRB) for jump Markov systems is proposed. It is shown that the proposed bound is at least as tight as EBCRB and the improvement stems from better handling of the nonlinearities. The new bound is illustrated to yield tighter results than BCRB and EBCRB on a benchmark example.