Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: MAP estimation is a good alternative to MMSE for certain applications involving nonlinear non Gaussian systems. Recently a new particle filter based MAP estimator has been derived. This new method extracts the MAP directly from the output of a running particle filter. In the recent past, a Viterbi algorithm based MAP sequence estimator has been developed. ,  compare these two methods for estimating the current state and the numerical results show that the former performs better.
['Saikat Saha', 'Yvo Boers', 'Hans Driessen', 'Pranab Kumar Mandal', 'Arunabha Bagchi']
I am writing a research paper on a idea Particle based MAP state estimation: A comparison
[{"from": "human", "value": "I am writing a research paper on a idea Particle based MAP state estimation: A comparison"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: MAP estimation is a good alternative to MMSE for certain applications involving nonlinear non Gaussian systems. Recently a new particle filter based MAP estimator has been derived. This new method extracts the MAP directly from the output of a running particle filter. In the recent past, a Viterbi algorithm based MAP sequence estimator has been developed. ,  compare these two methods for estimating the current state and the numerical results show that the former performs better."}]