simuTargetClutter: Simulate A Moving Target in Clutter

In NTS: Nonlinear Time Series Analysis

Simulate A Moving Target in Clutter

Description

The function simulates a target signal under clutter environment.

Usage

simuTargetClutter(nobs, pd, ssw, ssv, xx0, ss0, nyy, yrange)

Arguments

nobs	the number observations.
pd	the probability to observe the true signal.
ssw	the standard deviation in the state equation.
ssv	the standard deviation for the observation noise.
xx0	the initial location.
ss0	the initial speed.
nyy	the dimension of the data.
yrange	the range of data.

Value

The function returns a list with components:

xx	the location.
ss	the speed.
ii	the indicators for whether the observation is the true signal.
yy	the data.

References

Tsay, R. and Chen, R. (2018). Nonlinear Time Series Analysis. John Wiley & Sons, New Jersey.

Examples

data=simuTargetClutter(30,0.5,0.5,0.5,0,0.3,3,c(-30,30))

NTS documentation built on Sept. 25, 2023, 1:08 a.m.