Joint approximation of localization and path exponents in a RSS system

Tureli U., KIVANÇ TÜRELİ D.

Wireless Sensing, Localization, and Processing V, Orlando, FL, Amerika Birleşik Devletleri, 8 - 09 Nisan 2010, cilt.7706, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası: 7706
  • Doi Numarası: 10.1117/12.849304
  • Basıldığı Şehir: Orlando, FL
  • Basıldığı Ülke: Amerika Birleşik Devletleri
  • Anahtar Kelimeler: Cognitive radio, Least squares estimation, Localization, Network modeling, Optimum path loss model, Path loss exponents, Received signal strength, RSS positioning system, Tikhonov regularization
  • Yıldız Teknik Üniversitesi Adresli: Evet

Özet

A radio frequency communication wireless system can be localized using received signal strength measurements for indoor applications. Collaborative techniques such as multidimensional scaling have been shown to overcome significant ranging errors on a single floor. However, such techniques are highly sensitive to modeling mismatches including transmit power variation and path loss exponent especially when the signal goes through additional attenuation through floors indoors. In this paper, we examine an iterative joint estimator which jointly estimates location and path loss exponent for different users. Numerical results show superior performance in three dimensions when multiple floors are considered. © 2010 SPIE.