We propose an effective method to localize a maneuvering mobile station by means of fixed base stations using the interacting multiple model (IMM) supporting the geometry-based localization algorithms. Representative performance analysis confirms that the proposed IMM solution significantly reduces location error and is better than that of Kalman filter implementation.

A hybrid location system for a mobile station consists of a wireless-assisted GPS and a kind of cellular signals. This letter presents a location estimator improving the performance of the hybrid mobile station location for all terrain environments including inside or between buildings. An estimation structure eliminating non-line-of-sight propagation-delay error effectively improves location accuracy of the hybrid location system.

In this article, we shall propose an efficient anonymous channel protocol for wireless communications. The most important feature of our proposed protocol has the property of untraceability. In our scheme, the mobile stations (MSs) and the home network (HN) must authenticate each other. Moreover, the HN is untraceable in such a way that supports location anonymity and MSs identity anonymity for MSs roaming, dynamic channel assignment and broadcasting. Compare our protocol with Juang et al.'s protocol, our mobile agent communication cost is 3m which is more efficient than the Juang et al.'s protocol 5m. At the same time, our mobile agent computation cost is 2Th which is also more efficient than the Juang et al.'s protocol 1Tpublic+1Th. We can avoid employing public key cryptography in the anonymous channel ticket authentication phase since to keep the computation cost down.