Global Navigation Satellite Systems (GNSS) are used by the autopilot of an aircraft during the flight and landing. It is possible for GNSS to broadcast wrong information about the position of aircraft. To check the accuracy of aircraft position with reference to GNSS system, Receiver Autonomous Inte
Implementation of User-level Integrity Monitoring Algorithm for Aviation Applications
Global Navigation Satellite Systems (GNSS) are used by the autopilot of an aircraft during the flight and landing. It is possible for GNSS to broadcast wrong information about the position of aircraft. To check the accuracy of aircraft position with reference to GNSS system, Receiver Autonomous Integrity Monitoring (RAIM) is used. RAIM is a safety technique for the avionics system to detect and alert the crew on a probable degradation in the precision of the GNSS-guided air navigation. If required, the pilot can decide to regain safe navigation through other navigation means. RAIM algorithms follow computation of navigation solution, fault detection mechanism, isolation of “faulty” satellites and protection levels computation.
Implementation of Reciever Autonomous Integrity Monitoring Algorithm (RAIM) for integrity monitoring of Global Positioning System (GPS) signals received by an aircraft.
1. Data from the GPS satellites will be obtained.
2. MATLAB software will be used for the implementation of conventional RAIM algorithm to access the integrity of GPS signals.
The project enables us to monitor the integrity of GPS signals, received by an aircraft, with intention of improving onboard safety. As we know that in civil as well as in military aviation, safety is one of the most concerning factors, so we intend to explore the integrity of positioning solutions obtained through GPS satellites. The information derived will be used to exclude faulty satellite signals so that higher positioning accuracy is obtained. The report will evaluate and propose measures to improve the safety of an aircraft and passengers by excluding faulty satellite measurements. Such measures may also reduce the risk of air collisions by providing accurate positioning solutions.
With few modifications, this algorithm can also be implemented for cell phones, ships, and automobiles for evaluating accuracy in measured position.
The final deliverable will be MATLAB based program which will assess the integrity of the data received from GPS satellites. A GPS data receiver will receive data from the GPS satellite. This data will be used by the program which will determine any fault in the position calculated by GPS and will generate an alarm if there is any fault in the received GPS signal.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| NEO-M8P-0 | Equipment | 1 | 64986 | 64986 |
| Total in (Rs) | 64986 |
Using AI and machine learning, we have to design a prediction model which will pred...
The beauty of our project is that we are doing "Radio communication" to communicate p...
The Faculty Alumni and Students Connector strives to cultivate a community of National Tex...
A preprocessing noise suppression algorithm using spectral subtraction has been developed,...
The purpose of this project is to develop the link between academia and industry. Moreover...