Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication

@article{Kar2012DistributedPE,
  title={Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication},
  author={S. Kar and Jos{\'e} M. F. Moura and K. Ramanan},
  journal={IEEE Transactions on Information Theory},
  year={2012},
  volume={58},
  pages={3575-3605}
}
  • S. Kar, José M. F. Moura, K. Ramanan
  • Published 2012
  • Computer Science, Mathematics
  • IEEE Transactions on Information Theory
  • The paper studies distributed static parameter (vector) estimation in sensor networks with nonlinear observation models and noisy intersensor communication. It introduces separably estimable observation models that generalize the observability condition in linear centralized estimation to nonlinear distributed estimation. It studies two distributed estimation algorithms in separably estimable models, the NU (with its linear counterpart LU) and the NLU. Their update rule combines a consensus… CONTINUE READING
    Distributed Linear Parameter Estimation: Asymptotically Efficient Adaptive Strategies
    63
    On a consistent procedure for distributed recursive nonlinear least-squares estimation
    2
    Gossip and Distributed Kalman Filtering: Weak Consensus Under Weak Detectability
    132
    Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs
    207
    Consensus+Innovations Distributed Kalman Filter With Optimized Gains
    57
    Distributed detection over time varying networks: Large deviations analysis
    12
    Distributed Parameter Estimation Over Unreliable Networks With Markovian Switching Topologies
    • Qiang Zhang, J. Zhang
    • Computer Science, Mathematics
    • 2012
    65

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 77 REFERENCES
    Gossip and Distributed Kalman Filtering: Weak Consensus Under Weak Detectability
    132
    Distributed Linear Parameter Estimation in Sensor Networks based on Laplacian Dynamics Consensus Algorithm
    24
    Convergence Rate Analysis of Distributed Gossip (Linear Parameter) Estimation: Fundamental Limits and Tradeoffs
    207
    Stability analysis of the consensus-based distributed LMS algorithm
    26
    Consensus in Ad Hoc WSNs With Noisy Links—Part I: Distributed Estimation of Deterministic Signals
    648
    Decentralized Parameter Estimation by Consensus Based Stochastic Approximation
    87
    Distributed Kalman filtering using consensus strategies
    69
    Distributing the Kalman Filter for Large-Scale Systems
    383