A scrambling method for fingerprint positioning based on temporal diversity and spatial dependency

Sheng Po Kuo*, Yu-Chee Tseng

*Corresponding author for this work

Research output: Contribution to journalArticle

77 Scopus citations


Signal strength fluctuation is one of the major problems in a fingerprint-based localization system. To alleviate this problem, we propose a scrambling method to exploit temporal diversity and spatial dependency of collected signal samples. We present methods on how these properties can be applied to enhance the positioning accuracy of several existing schemes. Simulation studies and experimental results show that the scrambling method can greatly improve positioning accuracy, especially when the tracked object has some degree of mobility.

Original languageEnglish
Article number4407705
Pages (from-to)678-684
Number of pages7
JournalIEEE Transactions on Knowledge and Data Engineering
Issue number5
StatePublished - 1 May 2008


  • Context Awareness
  • Indoor Positioning
  • Location Tracking
  • Location-Based Service
  • Pervasive Computing
  • Sensor network

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