• Title/Summary/Keyword: MEOSAR

Search Result 3, Processing Time 0.019 seconds

Analysis of the Detection Time of Distress Signal for LEOSAR and MEOSAR Systems (LEOSAR 및 MEOSAR 시스템의 조난신호 탐지시간 해석)

  • Lim, Sang-Seok
    • Journal of Advanced Navigation Technology
    • /
    • v.10 no.4
    • /
    • pp.377-384
    • /
    • 2006
  • In this paper the detection time of the distress signal for the satellite-based search and rescue (SAR) system is evaluated. Present LEOSAR system in operation employs a few Low-altitude Earth Orbit (LEO) satellites and hence provides poor and local coverage availability. This results in a considerably long waiting time for a distress beacon to be detected by a rescue mission control center. One can expect that the detection time of the distress signal will be significantly reduced if the proposed MEOSAR system, which is based on the Medium-altitude Earth Orbit (MEO) satellites, is implemented. Taking into account the influence of the obstacles on the beacon signal, simulations are carried out to evaluate the detection time of distress signals for the LEOSAR and MEOSAR systems and the corresponding results are analyzed.

  • PDF

Beacon Geolocation Scheme of COSPAS-SARSAT System for Heavy Disaster Environment (다중 재난 상황에 적합한 COSPAS-SARSAT 탐색구조 비컨 위치추정 기법)

  • Kim, Jaehyun;Lee, Sanguk;Sin, Cheonsig;Ahn, Woo-Geun
    • Journal of Satellite, Information and Communications
    • /
    • v.10 no.4
    • /
    • pp.146-150
    • /
    • 2015
  • The COSPAS-SARSAT committee decides MEOSAR (Medium-Earth Orbit for search and rescue) service development for installing 406MHz SAR instruments on their respective MEO navigation satellite system of the United States, EU, and Russia, since 2000. The transmitted beacon signal is separately arrived by satellites with different FOA (Frequency of Arrival) and TOA (Time of Arrival). It is directly transferred to MEOLUT. In MEOLUT, a LUT track at least 3 or 4 satellites simultaneously and estimate location of beacon using time difference of arrival (TDOA) and frequency difference arrival (FDOA). But the transmitted distress signals may be overlapped each other because the distress beacons transmit signal on mean interval of 50 seconds in arbitrary time. It's difficult that simultaneously estimate location of beacon by current scheme for several overlapped distress signal. So we use cross ambiguity function (CAF) Map algorithm and present Multi-CAF MAP scheme in order to satisfy performance requirement of system. The performance is analyzed for COSAPS-SARSAT MEOSAR.

Assessment on the Performance of Search And Rescue Service of KPS

  • Lee, Jung-Hoon;Lee, Sanguk;Won, Jong-Hoon
    • Journal of Positioning, Navigation, and Timing
    • /
    • v.8 no.3
    • /
    • pp.119-127
    • /
    • 2019
  • COsmicheskaya Sisteyama Poiska Avariynich Sudov Search and Rescue Satellite-Aided Tracking (COSPAS-SARSAT) is an international communication support program to perform search and rescue (SAR) operations in emergency situations by using satellite signals relayed from a beacon. The legacy COSPAS-SARSAT was originally composed of low altitude and geostationary Earth orbit satellites; thus, a limited number of directional dish antennas was sufficient to cover the limited number of visible satellites at the local user terminal. However, the second generation COSPAS-SARSAT newly added the medium Earth orbit satellites, e.g., Global Navigation Satellite Systems (GNSS) to the existing system, so that the number of visible satellites increase dramatically, and the system upgrade to cover all the visible satellites is foreseen. The additional use of planned Korea Positioning System (KPS) to existing GNSS is envisaged to provide a better performance of their SAR service. This paper presents the benefits of the additional use of KPS together with the phased array antennas at the local user terminal of the COSPAS-SARSAT. This is to effectively response to the increase of the number of visible satellites. Numerical simulation is included to evaluate the performance improvement of COSPAS-SARSAT in terms of the number of visible satellites, geometry between satellites and user, and position estimation accuracy.