singermeas
Syntax
Description
returns the expected measurement for state based on the Singer acceleration motion model,
which assumes the target acceleration decays over time. You can also use it as a measurement
function in a Kalman filter. The measurement
= singermeas(state
)states
argument specifies the current
states.
also specifies the sensor position, measurement
= singermeas(state
,frame
,sensorpos
,sensorvel
)sensorpos
, and the sensor velocity,
sensorvel
.
specifies the measurement parameters, measurement
= singermeas(state
,measurementParameters
)measurementParameters
.
[
returns the measurement bounds, used by a tracking filter (measurement
,bounds
] = singermeas(___)trackingEKF
, trackingUKF
, trackingCKF
,trackingIMM
, trackingMSCEKF
, or trackingGSF
) in residual
calculations.
Examples
Input Arguments
Output Arguments
More About
References
[1] Singer, Robert A. "Estimating optimal tracking filter performance for manned maneuvering targets." IEEE Transactions on Aerospace and Electronic Systems 4 (1970): 473-483.
[2] Blackman, Samuel S., and Robert Popoli. "Design and analysis of modern tracking systems." (1999).
[3] Li, X. Rong, and Vesselin P. Jilkov. "Survey of maneuvering target tracking: dynamic models." Signal and Data Processing of Small Targets 2000, vol. 4048, pp. 212-235. International Society for Optics and Photonics, 2000.
Extended Capabilities
Version History
Introduced in R2020b
See Also
Functions
singer
|singerjac
|singermeasjac
|singerProcessNoise
|cvmeas
|cameas
|ctmeas
|ctrvmeas
|initsingerekf