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The function simulates a target signal under clutter environment.
simuTargetClutter(nobs, pd, ssw, ssv, xx0, ss0, nyy, yrange)
the number observations.
the probability to observe the true signal.
the standard deviation in the state equation.
the standard deviation for the observation noise.
the initial location.
the initial speed.
the dimension of the data.
the range of data.
The function returns a list with components:
the location.
the speed.
the indicators for whether the observation is the true signal.
the data.
Tsay, R. and Chen, R. (2018). Nonlinear Time Series Analysis. John Wiley & Sons, New Jersey.
# NOT RUN { data=simuTargetClutter(30,0.5,0.5,0.5,0,0.3,3,c(-30,30)) # }
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