Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support
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Qin Lu | Francesco Palmieri | Peter Willett | Yaakov Bar-Shalom | Frederick E. Daum | Y. Bar-Shalom | P. Willett | F. Daum | F. Palmieri | Qin Lu
[1] Qin Lu,et al. All Nonlinear Observation Models With Additive Gaussian Noises Enjoy Efficient MLEs , 2017, IEEE Signal Processing Letters.
[2] Peter Willett,et al. CRLB for likelihood functions with parameter-dependent support , 2014, IEEE Transactions on Aerospace and Electronic Systems.
[3] Yaakov Bar-Shalom,et al. Statistical Efficiency of Composite Position Measurements from Passive Sensors , 2011, IEEE Transactions on Aerospace and Electronic Systems.
[4] H. V. Trees. Detection, Estimation, And Modulation Theory , 2001 .
[5] Harley Flanders,et al. Differentiation Under the Integral Sign , 1973 .
[6] Thia Kirubarajan,et al. Estimation with Applications to Tracking and Navigation: Theory, Algorithms and Software , 2001 .
[7] Peter Willett,et al. ML–PDA and ML–PMHT: Comparing Multistatic Sonar Trackers for VLO Targets Using a New Multitarget Implementation , 2014, IEEE Journal of Oceanic Engineering.
[8] Peter Willett,et al. Cramér-Rao-Leibniz Lower Bound — A new estimation bound for finite support measurement noise , 2014, 53rd IEEE Conference on Decision and Control.
[9] Yaakov Bar-Shalom,et al. A note on "book review tracking and data fusion: A handbook of algorithms" [Authors' reply] , 2013 .
[10] Richard W. Osborne,et al. Bias estimation for optical sensor measurements with targets of opportunity , 2013, Proceedings of the 16th International Conference on Information Fusion.
[11] Francesco Palmieri,et al. The Multidimensional Cramér–Rao–Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support , 2017, IEEE Transactions on Aerospace and Electronic Systems.
[12] James R. Wason. OF THE n-SPHERE , 2016 .