Gps Ambiguity Resolution as a Classification Problem

In this contribution we explore the analogy between GPS ambiguity resolution on the one hand, and the problem of statistical classification, on the other hand. As classification rules we discuss the Bayes-, the MAP-, the ML- and the Minmax-rule. It is shown to what extent ambiguity resolution may be considered a classification problem. It turns out that both problems show many similarities, although some marked differences exist as well. These similarities and differences are discussed.