Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge

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概要

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• This letter investigates the training convergence in range-based cooperative positioning with stochastic positional knowledge. Firstly, a closed-form of squared position-error bound (SPEB) is derived with error-free ranging. Using the derived closed-form, it is proved that the SPEB reaches its minimum when at least 2 out of N(>2) agents send training sequences. Finally, numerical results are provided to elaborate the theoretical analysis with zero-mean Gaussian ranging errors.

• 2012-07-01

著者

• MA Yi

  the Centre for Communication Systems Research, University of Surrey

• HE Ziming

  the Centre for Communication Systems Research, University of Surrey

• TAFAZOLLI Rahim

  the Centre for Communication Systems Research, University of Surrey

関連論文

• Training Convergence in Range-Based Cooperative Positioning with Stochastic Positional Knowledge
• Opportunistic Cooperative Positioning in OFDMA Systems
• A High Accuracy Mobile Positioning Approach in IEEE 802.11a WLANs

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