Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100?) for obtaining from a plurality of airborne aircrafts provided with a network system, an aircraft signal transmitted to neighboring aircraft. The method further includes a second step (S200?) for detecting, by one of the plurality of aircraft, a presence of the unknown signal in the aircraft signal based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300?) for estimating the source location of the unknown signal and a fourth step (S400?) for transmitting unknown signal generation information and the source to neighboring aircraft and the ATC through a flight information services-broadcast (FIS-B).

Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100) for obtaining from a plurality of airborne aircrafts provided with a network system, aircraft signals transmitted to an air traffic control (ATC) and a second step (S200) for detecting, by the ATC, a presence of an unknown signal in the aircraft signals based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300) for estimating the source location of the unknown signal and a fourth step (S400) for transmitting unknown signal generation information associated with the unknown signal and the source location of the unknown signal to neighboring aircraft and the ATC.

Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100?) for obtaining from a plurality of airborne aircrafts provided with a network system, an aircraft signal transmitted to neighboring aircraft. The method further includes a second step (S200?) for detecting, by one of the plurality of aircraft, a presence of the unknown signal in the aircraft signal based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300?) for estimating the source location of the unknown signal and a fourth step (S400?) for transmitting unknown signal generation information and the source to neighboring aircraft and the ATC through a flight information services-broadcast (FIS-B).

Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100) for obtaining from a plurality of airborne aircrafts provided with a network system, aircraft signals transmitted to an air traffic control (ATC) and a second step (S200) for detecting, by the ATC, a presence of an unknown signal in the aircraft signals based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300) for estimating the source location of the unknown signal and a fourth step (S400) for transmitting unknown signal generation information associated with the unknown signal and the source location of the unknown signal to neighboring aircraft and the ATC.

Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100) for obtaining from a plurality of airborne aircrafts provided with a network system, aircraft signals transmitted to an air traffic control (ATC) and a second step (S200) for detecting, by the ATC, a presence of an unknown signal in the aircraft signals based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300) for estimating the source location of the unknown signal and a fourth step (S400) for transmitting unknown signal generation information associated with the unknown signal and the source location of the unknown signal to neighboring aircraft and the ATC.

Abstract: A method of detecting an unknown signal and estimating a source location of the unknown signal using aircraft based on an automatic dependent surveillance-broadcast (ADS-B) system is provided. The method includes a first step (S100) for obtaining from a plurality of airborne aircrafts provided with a network system, aircraft signals transmitted to an air traffic control (ATC) and a second step (S200) for detecting, by the ATC, a presence of an unknown signal in the aircraft signals based on one of a time difference of arrival (TDOA) method, a time of arrival (TOA) method, and an angle of arrival (AOA) method. The method further includes a third step (S300) for estimating the source location of the unknown signal and a fourth step (S400) for transmitting unknown signal generation information associated with the unknown signal and the source location of the unknown signal to neighboring aircraft and the ATC.

Abstract: Provided is a method of determining a drive lane using a steering wheel model. The method includes a step S100 of preparing a precise digital map having an accuracy capable of differentiating a road lane; a step S200 of estimating a vehicle location on a road using GPS information; a step S300 of checking whether the vehicle location information is normal using a difference between variation in the azimuth angle of the vehicle obtained by using the GPS information and variation in the azimuth angle of the vehicle obtained by using the steering wheel model; and a step S500 of determining and outputting a drive lane occupied by a running vehicle.

Abstract: Provided is a method of determining a drive lane using a steering wheel model. The method includes a step S100 of preparing a precise digital map having an accuracy capable of differentiating a road lane; a step S200 of estimating a vehicle location on a road using GPS information; a step S300 of checking whether the vehicle location information is normal using a difference between variation in the azimuth angle of the vehicle obtained by using the GPS information and variation in the azimuth angle of the vehicle obtained by using the steering wheel model; and a step S500 of determining and outputting a drive lane occupied by a running vehicle.

Abstract: Provided is a road lane recognition method in a navigation device, which can differentiate a road lane occupied by a vehicle running on bidirectional lanes, including estimating a vehicle location based on satellite signal received from a carrier-based navigation satellite system and correction information received from a master station; determining a drive direction of the vehicle using vehicle location information and road lane information stored in a digital map; for each road lane in the road lane information, calculating a distance between a center line of the respective road lane and the vehicle location using the vehicle location information and the road lane information; and determining the road lane having a minimum value among the calculated distances as a drive lane.

Abstract: Provided is a road lane recognition method in a navigation device, which can differentiate a road lane occupied by a vehicle running on bidirectional lanes, including estimating a vehicle location based on satellite signal received from a carrier-based navigation satellite system and correction information received from a master station; determining a drive direction of the vehicle using vehicle location information and road lane information stored in a digital map; for each road lane in the road lane information, calculating a distance between a center line of the respective road lane and the vehicle location using the vehicle location information and the road lane information; and determining the road lane having a minimum value among the calculated distances as a drive lane.