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Ung-Suok Kim

dblp:202/4285 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2008
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Wireless sensing and localization · 69% Network management and operations · 10% Physical-layer communications · 10%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless sensing and localization › satellite navigation
ambiguity resolution
0.112008
Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System · Proc. IEEE 2008
Wireless sensing and localization
satellite navigation
0.112008
Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System · Proc. IEEE 2008
Network management and operations › fault management
fault monitoring
0.012008
Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System · Proc. IEEE 2008
Physical-layer communications
interference suppression
0.012008
Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System · Proc. IEEE 2008
Cellular and mobile networks › interference management › interference mitigation
radio frequency interference mitigation
0.012008
Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System · Proc. IEEE 2008

Methods — techniques the papers use, named apart from their topics

two-stage navigation algorithm · 0.1inertial fusion · 0.1fault monitoring · 0.1array antennas · 0.1
YearPublicationVenuePosition
2008 Navigation, Interference Suppression, and Fault Monitoring in the Sea-Based Joint Precision Approach and Landing System
abstract
The United States Navy seeks the capability to land manned and unmanned aerial vehicles autonomously on an aircraft carrier using GPS. To deliver this capability, the Navy is developing a navigation system called the Sea-Based Joint Precision Approach and Landing System (JPALS). Because standard GPS is not sufficiently precise to land aircraft on a shortened, constantly moving runway, Sea-Based JPALS leverages dual-frequency, carrier-phase differential GPS navigation. Carrier phase measurements, derived from the sinusoidal waveforms underlying the GPS signal, are very precise but not necessarily accurate unless the user resolves the ambiguity associated with the sinusoid's periodicity. Ensuring the validity of ambiguity resolution is the central challenge for the high-integrity, safety-critical JPALS application. Based on a multi-year, multi-institution collaborative study, this paper proposes a navigation and monitoring architecture designed to meet the guidance quality challenge posed by Sea-Based JPALS. In particular, we propose a two-stage navigation algorithm that meets the aggressive integrity-risk requirement for Sea-Based JPALS by first filtering a combination of GPS observables and subsequently exploiting those observables to resolve the carrier ambiguity. Because JPALS-equipped aircraft may encounter jamming, we also discuss interference mitigation technologies, such as inertial fusion and array antennas, which, with appropriate algorithmic modifications, can ensure integrity under Radio Frequency Interference (RFI) conditions. Lastly, we recommend a fault monitoring strategy tailored to the two-stage navigation algorithm. Monitoring will detect and isolate rare anomalies such as ionosphere storms or satellite ephemeris errors which would otherwise corrupt ambiguity resolution and positioning in Sea-Based JPALS.
Jason H. Rife, Samer Khanafseh, Samuel P. Pullen, David De Lorenzo, Ung-Suok Kim, Mike Koenig, Tsung-Yu Chiou, Bartosz Kempny, Boris Pervan
Proc. IEEE5