Can Particle Filter estimate non-linear model transition function parameters
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Daniel Margulis
am 23 Jul. 2019
Kommentiert: Sai Sri Pathuri
am 26 Jul. 2019
Trying to work with particle filter function and would like to ask if Transition function vdpParticleFilterStateFcn Can use unknown parameters the same way as State Space Model functionality? If it can, can I do the estimation with some ssm analogue?
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Sai Sri Pathuri
am 26 Jul. 2019
The transition function may use unknown parameters. You can create custom transition function by using source code of vdpParticleFilterStateFcn and add unknown parameters (by defining them as NaN) in the function code.
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Sai Sri Pathuri
am 26 Jul. 2019
I do not think you have to write any complicated code for likelihood estimation. You can use the inbuilt functions such as vdpMeasurementLikelihoodFcn or create a custom function by using the source code for the same.
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