Abstract: An aircraft avionics system and method for automatically determining an aircraft position. The system and method determine distances to UAT or SSR ground stations. The system and method then determine the position of an aircraft by determining true bearings to SSR or UAT ground stations and determining the possible positions for the aircraft at which the aircraft is at respective bearings to each SSR or UAT ground station. An alternative system and method may determine distances based on timing signals in transmissions from the ground stations and determine one or more possible positions for the aircraft at which the aircraft is at the determined distances from respective ground stations. The system and method also may use dead reckoning or VOR or ADF signals to reduce the possible positions for the aircraft to a single possible position.

Abstract: An aircraft traffic alert system that minimizes false alarms and unnecessary alerts by automatically adjusting the sensitivity of the system based on proximity to an airport. The system also can use information from a flight management system (FMS) or GPS navigation system (GNS) to only adjust the sensitivity near a destination airport and to suppress potential alerts for possible collisions with other aircraft that will be moot based on planned course changes of the subject aircraft. The system also can suppress alerts related to another aircraft when the other aircraft is landing on a parallel runway to the runway on which the subject aircraft is landing. The system may use multiple sensitivity levels based on different airspace classes, each class being associated with a different sensitivity level.

Abstract: An aircraft avionics system and method for automatically determining an aircraft position. The system and method determine distances to UAT ground stations based on timing signals in transmissions from the UAT ground stations and determines one or more possible positions for the aircraft at which the aircraft is at the determined distances from respective UAT ground stations. The system and method may use three or more UAT ground stations to reduce the possible positions for the aircraft to a single possible position. The system and method also may use dead reckoning or VOR or ADF signals to reduce the possible positions for the aircraft to a single possible position. The system and method may also determine the position of an aircraft by determining true bearings to SSR ground stations and determining the possible positions for the aircraft at which the aircraft is at respective bearings to each SSR ground station.

Abstract: An aircraft traffic alert system that minimizes false alarms and unnecessary alerts by automatically adjusting the sensitivity of the system based on proximity to an airport. The system also can use information from a flight management system (FMS) or GPS navigation system (GNS) to only adjust the sensitivity near a destination airport and to suppress potential alerts for possible collisions with other aircraft that will be moot based on planned course changes of the subject aircraft. The system also can suppress alerts related to another aircraft when the other aircraft is landing on a parallel runway to the runway on which the subject aircraft is landing. The system may use multiple sensitivity levels based on different airspace classes, each class being associated with a different sensitivity level.

Abstract: Common practice in the aviation industry is to place a single Flight Data Recorder (FDR) in an aircraft for the purpose of aiding an investigation of an aircraft accident or incident. In contrast, a system employing ‘an example’ embodiment of the invention uses multiple flight data recorders by having a primary node or first FDR, and one or more secondary nodes or one or more additional FDRs configured to store flight data. Each FDR is placed in a different location so as to ensure backup of the recorded and stored data. In this way, the invention system provides redundancy of information for an aircraft accident or incident and more reliable data storage.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.

Abstract: Lightning strikes are displayed as uniformly-structured (e.g., gaussian) kernels that decay in size and intensity over time. The lightning strikes may be displayed as they occur, or stored for later display. Overlapping areas of the kernels are displayed in different colors than corresponding non-overlapping areas. A color (or colors) displayed in an overlapping area is a function of the number of kernels that overlap in that area.