Mobility tracking based on data from wireless cellular networks is a key challenge that has been recently investigated both from a theoretical and practical point of view. This paper proposes Monte Carlo techniques for mobility tracking in wireless communication networks by means of received signal strength indications. These techniques allow for accurate estimation of Mobile Station's (MS) position and speed. The command process of the MS is represented by a first-order Markov model which can take values from a finite set of acceleration levels. The wide range of acceleration changes is covered by a set of preliminary determined acceleration values. A particle filter and a Rao-Blackwellised particle filter are proposed and their performance is evaluated both over synthetic and real data. A comparison with an Extended Kalman Filter (EKF) is performed with respect to accuracy and computational complexity. With a small number of particles the RBPF gives more accurate results than the PF and the EKF. A posterior Cramér Rao lower bound (PCRLB) is calculated and it is compared with the filters' rootmean-square error performance.

The embedded inertial sensors in today's Smart phones have added the facility to use them for localisation and tracking applications. The benefit of using them for localisation purpose is that no extra infrastructure is to be installed in contrast to other existing positioning technologies. Inertial navigation only provides the information relative to initial point, so it is suitable for short distance positioning. However, integration of inertial navigation with other positioning technologies can be used for precise localisation. In this paper we introduce a mechanism for indoor pedestrian positioning using a combination of accelerometer and compass. Three different Smart phone placement modes (idle, hand held and listening) are investigated and a comparison of different pedestrian dead reckoning (PDR) techniques is presented. A Practical Approach, co-edited 11 books on the related areas, and published in excess of 450 research papers. His current research interests include channel coding, in particular capacity-approaching codes and application to radio communication channels and multimedia communications and storage, secure communication applications, power line communication systems, and modem design.

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