The mobile navigation services in an obstructed areacan be extremely challenging especially if the Global PositioningSystem (GPS) is blocked. In such conditions, users will find itdifficult to navigate directly on-site. This needs to use inertialsensor in order to determine the location as standalone, low costand ubiquity. However, the usage of accurate inertial sensor andfast localization module in the system would lead the phenomenonof sample impoverishment, which it is contribute

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... urden to the system. There are different situation of the sampleimpoverishment, and the solution by using special strategiesresampling algorithm cannot be used or fitted in different cases inaltogether. Adaptations relating to particle filtering attribute needto be made to the algorithm in order to make resampling moreintelligent, reliable and robust. In this paper, we are proposes arobust special strategy resampling algorithm by adapting particlefiltering attribute such as; noise and particle measurement. Thisadaptation is used to counteract sample impoverishment indifferent cases in altogether. Finally, the paper presents theproposed solution can survive in three (3) types of sampleimpoverishment situation inside mobile computing platform.