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Showing 1 to 4 of 4 for “"PCRLB"”.

  1. Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks

    … of noise. Posterior Cramer-Rao lower bound (PCRLB) sets a performance limit onany Bayesian estimator for the given dynamical system. The PCRLBdoes not fully utilize the existing measurement information to give anindication of the mean squared error (MSE) of the estimator in the future. In …

    syracuse-diss Repository record for Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks (opens in a new tab)

  2. Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation

    … derive the posterior Cramer-Rao lower bound (PCRLB) for the moving source state estimates as a theoretical performance bound. Further, we explore nonparametric, machine learning based estimation technique for diffusive source parameter estimation using Dirichlet process mixture model (DPMM). …

    unm Repository record for Collaborative Information Processing in Wireless Sensor Networks for Diffusive Source Estimation (opens in a new tab)

  3. Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks

    … Posterior Cram\'{e}r-Rao lower bound (PCRLB) is proposed. This bound provides theoretical justification for a heuristic one proposed by other researchers in this area. Theoretical complexity analysis is provided to show the efficiency of the proposed bound, compared to the existing …

    syracuse-diss Repository record for Distributed Estimation and Performance Limits in Resource-constrained Wireless Sensor Networks (opens in a new tab)