H. Inamura

Electrical and Electronic Engineering · 2008

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

Whom H. Inamura trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Weihua Zhuang (in Electrical and Electronic Engineering)

Who trusts H. Inamura

  1. Moe Z. Win (in Electrical and Electronic Engineering)
  2. Chia-Chin Chong (in Electrical and Electronic Engineering)
  3. Ismail Güvenç (in Electrical and Electronic Engineering)
  4. Wesley M. Gifford (in Electrical and Electronic Engineering)
  5. Henk Wymeersch (in Electrical and Electronic Engineering)

Papers from H. Inamura's perspective

Ordered by how strongly the researchers H. Inamura trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Analysis of wireless geolocation in a non-line-of-sight environment (IEEE Transactions on Wireless Communications)
  2. A new approach to the geometry of TOA location (Vehicular Technology Conference Fall 2000. IEEE VTS Fall VTC2000. 52nd Vehicular Technology Conference (Cat. No.00CH37152))
  3. Localization via ultra-wideband radios: a look at positioning aspects for future sensor networks (IEEE Signal Processing Magazine)
  4. Nonline-of-sight error mitigation in mobile location (IEEE INFOCOM 2004)
  5. A Comprehensive Standardized Model for Ultrawideband Propagation Channels (IEEE Transactions on Antennas and Propagation)
  6. Ultra-wideband : antennas and propagation for communications, radar and imaging
  7. Exact and approximate maximum likelihood localization algorithms (IEEE Transactions on Vehicular Technology)
  8. A TOA-based location algorithm reducing the errors due to non-line-of-sight (NLOS) propagation (IEEE 54th Vehicular Technology Conference. VTC Fall 2001. Proceedings (Cat. No.01CH37211))
  9. Ranging in a dense multipath environment using an UWB radio link (IEEE J. Sel. Areas Commun.)
  10. The ultra-wide bandwidth indoor channel: from statistical model to simulations (IEEE J. Sel. Areas Commun.)

Their papers