The modern world relies heavily on Positioning, Navigation, and Timing (PNT) services, with Global Navigation Satellite Systems (GNSS) serving as the foundational technology. Systems like the Global Positioning System (GPS), developed by the U.S. Department of Defense and fully operational since 1993, provide global PNT information with remarkable accuracy, ranging from meter-level precision using pseudorange measurements to centimeter-level accuracy with carrier phase measurements in real-time. This capability has become indispensable, underpinning diverse applications across movement ecology, urban studies, and transportation. The architecture of GPS itself built upon earlier radio-navigation systems such as LORAN and Decca Navigator, demonstrating a historical progression in PNT technology.
Despite its pervasive utility, GNSS is not without inherent limitations and vulnerabilities. Its fundamental reliance on line-of-sight (LoS) signals renders it susceptible to disruption by physical obstacles, including tall buildings in dense "urban canyons," tunnels, and even dense foliage or adverse weather conditions. Such obstructions can lead to significant inaccuracies or complete signal loss, posing considerable challenges for applications demanding precise location data, such as autonomous vehicles.
The pervasive nature of GNSS vulnerabilities highlights a critical reliance on a single point of failure for many safety-critical applications. This has driven a strategic shift from a GNSS-centric approach to a more diversified, multi-source, and hybrid PNT ecosystem. This section explores a range of ground-based and alternative PNT methods designed to complement or provide an alternative to GNSS, enhancing the overall robustness and resilience of positioning systems.
**Local Positioning Systems (LPS)** are a class of navigation solutions specifically designed to provide location information within a restricted geographical area, such as indoors, within urban canyons, or in complex industrial settings.
A **pseudolite** (short for "pseudo-satellite") is a ground-based transmitter that emits signals similar to those from GNSS satellites. They are typically used to augment GNSS in challenging environments, such as open-pit mines or urban canyons, by providing a local signal that can be tracked by a GNSS receiver.
**Vision-based navigation** uses cameras to determine a system's position and orientation by analyzing sequential images. This is often used in conjunction with **Simultaneous Localization and Mapping (SLAM)**, an algorithm that allows a robot or autonomous vehicle to build a map of an unknown environment while simultaneously keeping track of its own location within that map.
SLAM is crucial for autonomous vehicles, industrial robots, and even AR/VR applications, especially indoors or in urban canyons where GNSS is weak.
**Ground Penetrating Radar (GPR)** is a geophysical method that uses radar pulses to image the subsurface. It is a unique PNT capability that provides high-resolution imaging of buried objects and geological structures. Its non-destructive nature and ability to map underground features are critical for archaeology, utility mapping, and construction planning.
**eLORAN** (enhanced LORAN) is a modernized version of the original LORAN (Long Range Navigation) system, a terrestrial radio navigation system that provides a robust, low-frequency signal. It is less susceptible to jamming and spoofing than GNSS signals, making it a strong candidate for a resilient, independent PNT solution, especially for maritime and aviation applications.
**Assured PNT (A-PNT)** strategies aim to provide continuous, accurate, and reliable PNT services even in environments where GNSS signals are degraded or denied. The core of A-PNT lies in **multi-sensor fusion**, integrating data from multiple, diverse PNT sources to overcome the limitations of any single system.