A novel nonlinear least-squares approach to highly maneuvering target tracking

A Least Squares Approach to Estimating the Average Reservoir Pressure

Least squares method (LSM) is an accurate and rapid method for solving some analytical and numerical problems. This method can be used to estimate the average reservoir pressure in well test analysis. In fact, it may be employed to estimate parameters such as permeability (k) and pore volume (Vp). Regarding this point, buildup, drawdown, late transient test data, modified Muskat method, interfe...

A Nonlinear Least-Squares Approach to the SLAM Problem

In this work we present a solution to the simultaneous localisation and mapping (SLAM) problem using a camera and inertial sensors. Our approach is based on the maximum a posteriori (MAP) estimate of the complete SLAM estimate. The resulting problem is posed in a nonlinear leastsquares framework which we solve with the GaussNewton method. The proposed algorithm is evaluated on experimental data...

Multi-target Tracking via Nonlinear Least Squares Using Doppler Measurements from a Passive Radar System

A Novel Bearing-only Target Tracking Algorithm to Track a Maneuvering Target

We proposed two approaches to tracking moving target with bearing-only measurement through incorporating observer trajectory optimization into passive tracking systems. The two optimizers algorithm are designed separately, and they are independent of any state estimators, which make them possible to be combined with any state estimators to achieve high accuracy maneuvering/non-maneuvering targe...

a least squares approach to estimating the average reservoir pressure

least squares method (lsm) is an accurate and rapid method for solving some analytical andnumerical problems. this method can be used to estimate the average reservoir pressure in well testanalysis. in fact, it may be employed to estimate parameters such as permeability (k) and porevolume (vp). regarding this point, buildup, drawdown, late transient test data, modified muskatmethod, interferenc...