A Standalone Approach for High-Sensitivity GNSS Receivers
TL;DRAbstract
Global Navigation Satellite Systems (GNSS) such as the Global Positioning System (GPS) can provide users with accurate navigation and timing services worldwide. Recently, processing weak GNSS signals has been receiving growing attention because of the increased demand for navigation in signal challenged environments, e.g., indoors, under dense foliage canopies, in urban canyons, etc. High-sensitivity GNSS receivers are preferred for the improved acquisition and tracking capabilities under degraded signal environments. The current mainstream high-sensitivity GNSS receiver design utilizes assisted-GNSS to maximize performance. However, the assistance source is not always available and the cost of additional communication channels is often a requisite concern. In light of this, the standalone performance of high-sensitivity GNSS receivers is addressed in this thesis. In order to achieve bit wipe-off and extend coherent integration time, a newly proposed standalone high-sensitivity GNSS re
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Global Navigation Satellite Systems (GNSS) such as the Global Positioning System (GPS) can provide users with accurate navigation and timing services worldwide. Recently, processing weak GNSS signals has been receiving growing attention because of the increased demand for navigation in signal challenged environments, e.g., indoors, under dense foliage canopies, in urban canyons, etc. High-sensitivity GNSS receivers are preferred for the improved acquisition and tracking capabilities under degraded signal environments. The current mainstream high-sensitivity GNSS receiver design utilizes assisted-GNSS to maximize performance. However, the assistance source is not always available and the cost of additional communication channels is often a requisite concern. In light of this, the standalone performance of high-sensitivity GNSS receivers is addressed in this thesis. In order to achieve bit wipe-off and extend coherent integration time, a newly proposed standalone high-sensitivity GNSS re
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