Optimal Channel-Aware Bayesian Estimation with 1-Bit Quantization
Document Type
Conference Proceeding
Publication Date
2021
Abstract
We address the optimal quantizer design problem for distributed Bayesian parameter estimation where each sensor quantizes its local observation into one bit and transmit it through non-ideal channels to the Fusion Center. We first develop an asymptotic performance limit (PL) as a performance bound for any quantizer design with a known prior. Aided by this PL, we derive the optimal quantizer and near optimal quantizer with set of observation models that achieves the PL, thus solve a set of optimal quantizer design problem for distributed estimation.
Publication Information
Paudel, Santosh and Chen, Hao. (2021). "Optimal Channel-Aware Bayesian Estimation with 1-Bit Quantization". 2021 55th Asilomar Conference on Signals, Systems, and Computers, 752-756. https://doi.org/10.1109/IEEECONF53345.2021.9723208