Sentence examples for nonlinear measurements from inspiring English sources

In this section, we present BinoGMF, which uses BinoGM for splitting prior components when nonlinear measurements occur.

Estimation of a state from noisy nonlinear measurements is a problem arising in many different technical applications including object tracking, navigation, economics, and computer vision.

In [85], a recursive filter is designed for power systems with quantized nonlinear measurements by minimizing the upper bound of the error covariance.

The approximation is used for splitting normally distributed components in a Gaussian mixture filter, such that components have smaller covariances and cause smaller linearization errors when nonlinear measurements are used for the state update.

We propose a linear state model for the state evolution, whereas in the literature, the state model used with PDR system is usually nonlinear [7-10] or the heading information is used as nonlinear measurements [4].

Here, we present the g-expectation as a nonlinear measurement of risk and give the connection between the convex risk measure and the g-expectation as follows (see [33, 41] for more details).

Nonlinear measurement functions (2b) are linearized in the latter two.

1) Nonlinear measurement model: The above Gaussian mixture MP-PHD filter can be extended to a nonlinear measurement model using the EKF.

Nonlinear measurement model of the land-based navigation system has been established.

Figure 3 Second-order polynomials fitted to three nonlinear measurement functions using Taylor expansion and sigma points.

where is a nonlinear state transition function, is a nonlinear measurement function, the state vector, the inputs, the process noise, input noise, and measurement noise.