Filtering is a recursive estimation of hidden states of a dynamic system from noisy
measurements. Such problems appear in several branches of science and technology …

In this paper, an algorithm has been developed to solve the nonlinear estimation problems.
The intractable integrals, appeared during the estimation, have been approximately …

An orthogonal transformation is applied to the cubature quadrature (CQ) points which are
used to approximate the intractable integrals appeared during the estimation of states of a …

In this paper, a maneuvering target tracking problem has been solved by using the Guss-
Hermite filter (GHF) and sparse-grid Gauss-Hermite filter (SGHF). Univariate Gauss-Hermite …

An ongoing work, proposing a modified method to solve the nonlinear filtering problems is
presented in this paper. The proposed method, which uses orthogonally transformed …

In this paper, a Low earth orbit (LEO) satellite is tracked using cubature quadrature Kalman
filter (CQKF), which is a generalized form of cubature Kalman filter (CKF). In CQKF, the third …

A continuous-discrete system represents a system with continuous process and discrete
measurement models. Very recently, two filters namely cubature quadrature Kalman filter …

Tracking manoeuvring aircrafts is an extremely challenging and important task as far as civil
air traffic control is concerned. Considering a multiple switching model design for describing …

In this paper, an improved filter has been proposed for solving the nonlinear estimation
problem. The intractable integral appeared while solving the nonlinear estimation problem is …

This dissertation presents the outcome of investigations which envisaged to develop
improved state and 'combined state and parameter'estimation algorithms for nonlinear …