The Marginal Enumeration Bayesian Cramer-Rao Bound for Jump Markov Systems
IEEE SIGNAL PROCESSING LETTERS, cilt.21, sa.4, ss.464-468, 2014 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 21 Sayı: 4
- Basım Tarihi: 2014
- Doi Numarası: 10.1109/lsp.2014.2305115
- Dergi Adı: IEEE SIGNAL PROCESSING LETTERS
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.464-468
- Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
- Orta Doğu Teknik Üniversitesi Adresli: Evet
Özet
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.