The fisher information matrix and the CRLB in a non-AWGN model for the phase retrieval problem
Radu Victor Balan · 2015
In this paper we derive the Fisher information matrix and the Cramer-Rao lower bound for the non-additive white Gaussian noise model yk = |{x, fk) + μk|2, 1 ≤ k ≤ m, where {f1, · · ·, fm} is a spanning set for Cnand (μ1, ..., μm) are i.i.d. realizations of the Gaussian complex process CN(0, ρ2). We obtain closed form expressions that include quadrature integration of elementary functions.