Battery management systems (BMS) are important for ensuring the safety, efficiency and reliability of a battery pack. Estimating internal equivalent circuit model (ECM) parameters battery, such as open voltage, resistance relaxation parameters, is crucial requirement in BMSs. Numerous approaches to estimating ECM have been reported literature. However, existing consider identification joint est...

Non-Bayesian parameter estimation under parametric constraints is encountered in numerous applications in signal processing, communications, and control. Mean-squared-error (MSE) lower bounds are widely used as performance benchmarks and for system design. The well-known constrained Cramér-Rao bound (CCRB) is a lower bound on the MSE of estimators that satisfy some unbiasedness conditions. In m...

A wind scatterometer makes measurements of the normalized radar-backscatter coefficient of the ocean surface. To retrieve the wind, a geophysical model function (GMF), which relates to the near-surface wind, is used. The wind vector can be estimated using maximum-likelihood techniques from several measurements made at different azimuth angles. The probability density of the measured is assumed ...

Acquiring position information by means of ad-hoc networks and in particular wireless sensors networks (WSNs) received a lot of attention in the past years. Survey works, such as [1], [2], show a large number of techniques/algorithms that can be used to solve the localization problem. The techniques used are often borrowed from other fields of science and modified to fit the context of wireless...

We consider the intrinsic version of the Cramer-Rao lower bound (CRLB) as introduced by S.T. Smith in 2005. In the concerned paper, the derived lower bound on the intrinsic root-mean-square error (RMSE) of any sample covariance matrix (SCM) estimator is shown not to depend on the underlying parameter, and the author claims the result stems from the invariances of the Fisher Information Metric (...

Computation of the Cramer-Rao bound (CRB) on estimator variance requires the inverse or the pseudo-inverse Fisher information matrix (FIM). Direct matrix inversion can be computationally intractable when the number of unknown parameters is large. In this correspondence, we compare several iterative methods for approximating the CRB using matrix splitting and preconditioned conjugate gradient al...

A unifying asymptotic performance analysis of a class of MUSIC algorithms for direction-of arrival (DOA) estimation in fourth-order cumulant domain (FOCD-MUSIC) is presented in this paper, A simple and explicit formula for the asymptotic variances of DOA estimation by FOCDMUSIC’s is given. The Cram&-Rao bound for DOA estimation in fourth-order cumulant domain (FOCD-CRB) is also derived. The per...

To balance the performance and complexity for frequency estimation of sinusoid wave using DFT-based methods, an efficient algorithm based on improved Quinn is proposed. The amplitude phase information are used to interpolate which ensures accuracy shift direction. A method piecewise performed, it has characteristics higher precision lower computational costs. Simulation results show that judgme...