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Session A3: Next Generation Receiver and Antenna Technology

BASS Algorithm for Enhanced Position Estimation of MEOSAR COSPAS-SARSAT Receivers
Jung-Hoon Lee, Inha University, South Korea; Incheol Jeong, Electronics and Telecommunications Research Institute (ETRI), South Korea; Jong-Hoon Won, Inha University, South Korea
Location: Grand Ballroom G
Date/Time: Wednesday, Jan. 31, 4:30 p.m.

COSPAS-SARSAT is a global disaster relief communication program that emergency users like people, aircraft, and ships in critical situation activate a beacon to send search and rescue signals to the ground emergency rescue operation centers via satellites. It was operated by Geostationary Orbiting Search And Rescue (GEOSAR) and Low-Earth Orbiting Search And Rescue (LEOSAR) satellites, and then recently Medium-altitude Earth Orbiting Search And Rescue (MEOSAR) satellites have been additionally included and operated all together since December 2016, to be fully operational by 2018. Therefore, it is necessary to analyze the Medium-altitude Earth Orbiting Local User Terminal (MEOLUT) parameters that maximizes the beacon's position estimation capability. In the COSPAS-SARSAT system, the beacon signal is not a continuous wave but burst. Therefore, we use correlation peak values to estimate Time Difference Of Arrival (TDOA) and Frequency Difference Of Arrival (FDOA) because two received signals are used instead of replica signals. Therefore, TDOA and FDOA estimation performance is lower than global navigation satellite system (GNSS) through tracking. If the sampling rate is increased at the ground station (receiver), the estimation performance can be increased. However, there is a limit, i.e., a disadvantage that the computing load increases sharply.
We propose the Block Adjustment of Synchronizing signal (BASS) algorithm to increase the performance of signal processing in the COSPAS-SARSAT system. The performance of the BASS algorithm is analyzed by varying the given environment and the correction factors of the ground station. This allows us to analyze the applicability of the BASS algorithm in a given environment.



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