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Taewon Kang

4 papers hereh-index 7127 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • eess.SP3
  • eess.SY1
same name
  • Taewon Kang — 7 papers, h 2
  • Taewon Kang — 5 papers, h 7
  • Taewon Kang — 3 papers, h 3
  • Taewon Kang — 3 papers, h 2
  • Taewon Kang — 1 paper, h 2
  • Taewon Kang — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedRSS-based LTE Base Station Localization Using Single Receiver in Environment with Unknown Path-Loss Exponent

27 citations · 68 across the 4 of their papers we have counts for

collaborators

4 papers

eess.SY2022

Construction of the Radio Map with Defective GPS Position Information

Taewon Kang, Joon Hyo Rhee

The basic idea of RSS-based indoor positioning is to estimate the receiver location by matching the measured received signal strength indicator (RSSI) with preestablished RSSI coll…

eess.SP2022★ 20 cited

Evaluation of RF Fingerprinting-Aided RSS-Based Target Localization for Emergency Response

Halim Lee, Taewon Kang, Suhui Jeong +1

Target localization is essential for emergency dispatching situations. Maximum likelihood estimation (MLE) methods are widely used to estimate the target position based on the rece…

eess.SP2020★ 27 cited

RSS-based LTE Base Station Localization Using Single Receiver in Environment with Unknown Path-Loss Exponent

Suhui Jeong, Halim Lee, Taewon Kang +1

With the increasing demand for location-based services, localization technology research has recently intensified. Received signal strength (RSS)-based localization has the advanta…

eess.SP2020★ 21 cited

Practical Simplified Indoor Multiwall Path-Loss Model

Taewon Kang, Jiwon Seo

Over the past few decades, attempts had been made to build a suitable channel prediction model to optimize radio transmission systems. It is particularly essential to predict the p…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.