Description
GPS Aided Geo Augmented Navigation (GAGAN) is a Space-Based Augmentation System (SBAS) developed for the Indian region and standardized within 3GPP for integration with cellular networks. It enhances the performance of the Global Positioning System (GPS) by providing correction data and integrity information via geostationary satellites. The system consists of a network of ground reference stations that monitor GPS signals, master control centers that process the data to generate correction messages, and uplink stations that transmit these messages to geostationary satellites for broadcast to users.
Within the 3GPP architecture, GAGAN is relevant to location services, particularly for Assisted-GNSS (A-GNSS) features. The specifications define how GAGAN augmentation data can be delivered to user equipment (UE) via cellular networks to improve positioning accuracy and time-to-first-fix. The system works by measuring errors in the GPS signals caused by ionospheric delays, satellite clock inaccuracies, and orbital deviations. These error corrections are computed at the ground segment and then broadcast, enabling receivers to achieve positional accuracy within a few meters, which is critical for safety-of-life applications like aviation navigation.
Key components include the GAGAN Signal-in-Space (SIS), which broadcasts the correction messages on the L1 frequency (1575.42 MHz), and the network of Indian Reference Stations (INRES). In 3GPP contexts, protocols such as Radio Resource Control (RRC) and LTE Positioning Protocol (LPP) may carry GAGAN assistance data to UEs. The role of GAGAN in mobile networks is to provide a reliable, high-accuracy positioning source that complements other methods like Observed Time Difference of Arrival (OTDOA) or sensor fusion, especially in regions where GAGAN coverage is available. This integration supports applications requiring precise location, such as emergency services, navigation, and geofencing.
Purpose & Motivation
GAGAN was developed to address the limitations of standalone GPS, which lacks sufficient accuracy, integrity monitoring, and availability for critical applications like aircraft navigation over Indian airspace. GPS alone can have errors of up to 10 meters or more due to atmospheric effects and satellite clock errors, which are unacceptable for precision approaches in aviation. The motivation was to create a regional augmentation system that meets the stringent requirements of the International Civil Aviation Organization (ICAO) for Safety of Life (SoL) services.
Historically, other regions developed similar SBAS like WAAS (USA), EGNOS (Europe), and MSAS (Japan). For India, GAGAN provided a tailored solution to enhance GPS performance over its geographical area, including remote and oceanic regions. Its integration into 3GPP standards, starting from Release 8, allowed mobile networks to leverage this enhanced positioning capability, enabling new services that demand high accuracy and reliability. This addressed the previous limitation where cellular positioning methods alone could not achieve the sub-meter accuracy required for applications like autonomous vehicles, precision agriculture, and advanced driver-assistance systems (ADAS).
Key Features
- Provides real-time correction data for GPS satellite errors
- Broadcasts integrity alerts to warn of unreliable GPS signals
- Enhances horizontal and vertical accuracy to within 3 meters
- Uses geostationary satellites for wide-area coverage over India
- Supports Safety of Life (SoL) applications, including aviation
- Integrated with 3GPP A-GNSS protocols for delivery to mobile devices
Evolution Across Releases
Introduced support for GAGAN within the Assisted-GNSS (A-GNSS) framework for LTE. Defined how GAGAN augmentation data could be provided to UE via control plane protocols to improve positioning accuracy and integrity for location-based services.
Defining Specifications
| Specification | Title |
|---|---|
| TS 21.905 | 3GPP TS 21.905 |
| TS 22.071 | 3GPP TS 22.071 |
| TS 25.305 | 3GPP TS 25.305 |
| TS 25.331 | 3GPP TS 25.331 |
| TS 25.423 | 3GPP TS 25.423 |
| TS 25.433 | 3GPP TS 25.433 |
| TS 25.453 | 3GPP TS 25.453 |
| TS 36.305 | 3GPP TR 36.305 |
| TS 36.355 | 3GPP TR 36.355 |
| TS 37.355 | 3GPP TR 37.355 |
| TS 38.305 | 3GPP TR 38.305 |
| TS 38.455 | 3GPP TR 38.455 |
| TS 44.031 | 3GPP TR 44.031 |