Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking
By H. V. Trees, K. Bell. 2007
702 citations recorded by the source corpus.
Subfields: Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/d55ca254f5d4a50c05a7e8b3bd5087c586267cc9
How researchers see this paper
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In Control and Systems Engineering
- H. Vincent Poor
- Athina P. Petropulu
- Davide Dardari
- Petar M. Djuric
- Pau Closas
- Hana Godrich
- Fredrik K. Gustafsson
Citations in the corpus
- Target Localization Accuracy Gain in MIMO Radar-Based Systems (2008, background): “As the SNR decreases, the estimator reach a threshold point in which ambiguous errors occur [33], [58].”
- Quantum metrology with nonclassical states of atomic ensembles (2016, background): “Atomic clocks are characterized by their accuracy and stability (Vanier and Audoin, 1992).”
- Indoor Tracking: Theory, Methods, and Technologies (2015, methodology): “To that end, we resort to the posterior Cramér–Rao bound (PCRB) [10].”
- Radar Maneuvering Target Motion Estimation Based on Generalized Radon-Fourier Transform (2012, background): “, Barankin bound (BRB), Hammersley-Chapman-Robbins bounds (HCR) and so on [25]–[27], may be used to predict larger parameter variances than the proposed CRLB.”
- Power Allocation Strategies for Target Localization in Distributed Multiple-Radar Architectures (2011, methodology): “Given the received signal in (4), the conditional pdf is of the following form: (8) For an unbiased (or asymptotically unbiased) estimator, the CRB is asymptotically efficient and the maximum likelihood estimator (MLE) MSE approaches the CRB as the SNR becomes large [27].”