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Exact Minimax Estimation for Phase Synchronization

2020/10/09 by Gao, Chao, Zhang, Anderson Y. · 1 citation
#FOS: Mathematics #Optimization and Control (math.OC) #Statistics Theory (math.ST)

paper · doi:10.48550/arxiv.2010.04345

Abstract

We study the phase synchronization problem with measurements Y=z^*z*H+σW∈ℂn× n, where z^* is an n-dimensional complex unit-modulus vector and W is a complex-valued Gaussian random matrix. It is assumed that each entry Yjk is observed with probability p. We prove that the minimax lower bound of estimating z^* under the squared ℓ2 loss is (1-o(1))(σ2)/(2p). We also show that both generalized power method and maximum likelihood estimator achieve the error bound (1+o(1))(σ2)/(2p). Thus, (σ2)/(2p) is the exact asymptotic minimax error of the problem. Our upper bound analysis involves a precise characterization of the statistical property of the power iteration. The lower bound is derived through an application of van Trees' inequality.

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