Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Convex Optimization
Power scheduling of universal decentralized estimation in sensor networks
IEEE Transactions on Signal Processing
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Universal decentralized estimation in a bandwidth constrained sensor network
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
Network lifetime maximization for estimation in multihop wireless sensor networks
IEEE Transactions on Signal Processing
Distributed estimation in energy-constrained wireless sensor networks
IEEE Transactions on Signal Processing
Lifetime maximization in wireless sensor networks with an estimation mission
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Stochastic consensus over noisy networks with Markovian and arbitrary switches
Automatica (Journal of IFAC)
Quantized steady-state kalman filter in a wireless sensor network
ICSI'12 Proceedings of the Third international conference on Advances in Swarm Intelligence - Volume Part II
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Consider the problem of estimating an unknown parameter by a sensor network with a fusion center (FC). Sensor observations are corrupted by additive noises with an arbitrary spatial correlation. Due to bandwidth and energy limitation, each sensor is only able to transmit a finite number of bits to the FC, while the latter must combine the received bits to estimate the unknown parameter. We require the decentralized estimator to have a mean-squared error (MSE) that is within a constant factor to that of the best linear unbiased estimator (BLUE). We minimize the total sensor transmitted energy by selecting sensor quantization levels using the knowledge of noise covariance matrix while meeting the target MSE requirement. Computer simulations show that our designs can achieve energy savings up to 70% when compared to the uniform quantization strategy whereby each sensor generates the same number of bits, irrespective of the quality of its observation and the condition of its channel to the FC.