Performance of Integrated HSGPS-IMU Technology for Pedestrian Navigation under Signal Masking

The objective of this paper is to evaluate the performance of low-cost MEMS-based Inertial Measurement Units (IMU) integrated with High-Sensitivity GPS (HSGPS) receivers, for pedestrian navigation applications. Two different methods are used for integrating the GPS and IMU together. The first method is a conventional integration algorithm where IMU measurements are processed through a set of mechanization equation to compute a navigation solution followed by updates from GPS. Such an algorithm is referred to as an Inertial Navigation System (INS) algorithm. The second algorithm makes use of the dynamics of a pedestrian, and propagates step-length in the direction of motion. This algorithm is termed as pedestrian dead-reckoning (PDR) algorithm. A tightly coupled integration system is developed for integrating both GPS and PDR (and GPS and INS) together. The ability of both PDR and INS to bridge the navigation solution is evaluated through field tests conducted in severely signal degraded environments, namely urban canyons. The tests were performed in two different

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