WebThe Barankin bound is the greatest lower bound for any unbiased estimator. Moreover, in contrast to the CRB, its computation is not limited by the discrete nature of the parameter … WebThe models are based on the Barankin lower bound on the precision with which the quantities of interest can be determined. We have found the Barankin bound to be …
A Useful Form of the Abel Bound and Its Application to Estimator ...
WebJun 30, 2024 · The bound has the form of a linear matrix inequality where the covariances of any unbiased estimator, if these exist, are lower bounded by matrices depending only on … WebJan 1, 2001 · A Barankin-type lower bound on the estimation of a hybrid parameter vector. IEEE Trans. Inform. Theory, 43 (1997), pp. 1084-1093. View in Scopus Google Scholar. 12. P. Stoica, K. Sharman. Maximum likelihood methods for direction of … in medicaid hip
Barankin Bounds for Target Localization by MIMO Radars
Webthe help of approximations of the Barankin bound (BB) pro-posed by many authors. These approximations result from a linear transformation (discrete or integral) of the uniform unbiasness constraint introduced by Barankin. Nevertheless, non-linear transformations can be used as well for some class of p.d.f. including the Gaussian case. The bene ... Multiple-input multiple-output (MIMO) radar/sonar systems transmit signals coded in time and space domains and have several advantages upon conventional systems. In … WebOct 24, 2012 · The mathematical theory of reproducing kernel Hilbert spaces (RKHS) provides powerful tools for minimum variance estimation (MVE) problems. Here, we extend the classical RKHS based analysis of MVE in several directions. We develop a geometric formulation of five known lower bounds on the estimator variance (Barankin bound, … in medical diagnostics for a disease