The Cramer-Rao lower bound in a non-AWGN model for the affine phase retrieval

In this paper, we derive the Cramer-Rao lower bound (CRLB) in a non-additive white Gaussian noise (AWGN) model for the affine phase retrieval (APR) and simulate the difference of CRLB and mean square error produced by PhaseLift of phase retrieval and APR in AWGN and non-AWGN cases.

Automated summary

This paper calculates the CRLB in a non-additive white Gaussian noise model for the affine phase retrieval (APR) and simulates the performance difference of PhaseLift in AWGN and non-AWGN cases, comparing the CRLB and mean square error for phase retrieval and APR.