Integer ambiguity resolution in GPS using particle filtering

Using carrier phase measurements enables the differential GPS to reach centimeter level accuracy. A phase lock loop cannot measure the full cycle part of the carrier phase. This unmeasured part is called integer ambiguity that requires to be resolved through other mean. In this paper we present a new integer ambiguity resolution method. In this method we treat the integer ambiguity as a random digital vector. Using nonlinear particle filtering, we approximate the conditional probability mass function of the integer ambiguity given the observation. The resolved integer is the MAP estimate of the integer given the observation.