Performance Analysis of the Localization Compensation Algorithm based on Measured Error Patterns of Distance in WPAN

WPAN에서 거리별 측정오차 패턴을 적용한 위치인식 보정 알고리즘의 성능 분석

  • 최창용 (동명대학교 컴퓨터공학과) ;
  • 이동명 (동명대학교 컴퓨터공학과)
  • Received : 2010.02.12
  • Accepted : 2010.05.13
  • Published : 2010.05.31


The performance characteristics and the disadvantages in the compensation algorithm based on the Measured Error Patterns of Distance that is already developed are analyzed, and the localization compensation algorithm(DCA2) based on measured error patterns of distance in WPAN that is the enhanced version of DCA1 is supposed in this paper. From the experimental results, it is confirmed that the localization performance of DCA1 and DCA2 is superior than SDS-TWR as each average above 60% and 75% of the total localizing measurement points in 2 experimental regions, and the localization performance of DCA2 is especially better than SDS-TWR as 91% of the points in $15m{\times}15m$ experimental region. In addition to this, it is confirmed that DCA2 is better than DCA1 as each 16% and 22% of the total localizing measurement points in $10m{\times}10m$ and $15m{\times}15m$ scaled experimental regions, and the average localization errors of DCA1 and DCA2 are lower than SDS-TWR to each 7~12% and 20%. Thus, it can be inferred that DCA2 is the best localization algorithm among 3 localization algorithms SDS-TWR, and DCA2.


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