  By making use of martingale representations, we derive the asymptotic
normality of particle filters in hidden Markov models and a relatively simple
formula for their asymptotic variances. Although repeated resamplings result in
complicated dependence among the sample paths, the asymptotic variance formula
and martingale representations lead to consistent estimates of the standard
errors of the particle filter estimates of the hidden states.
