| The position location techniques such as Angle-Of-Arrival (AOA), Time-Of-Arrival (TOA) and Time-Difference-Of-Arrival (TDOA) require at least three Base Stations (BSs) to estimate the position of a Mobile Station (MS). Therefore, in presence of less than three BSs, it is very challenging to estimate the position or at least sense the motion of the MS. This thesis proposes a novel and efficient solution to detect the motion of a MS using a single BS in typical outdoor multipath environment. The detection principle is based on the Estimator Correlator (EC). Although, the developed detector can successfully detect the motion for MS velocity above 40 km/hr, the success rate is approximately 82.4 percent while tested on five minutes snapshots of pedestrian speed vs. stationary data. However, the unpredictability can be resolved by analyzing the TDOA observables. Moreover, the RSSI can also be used to complement the detection technique with additional information. |
