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In this report we present an analysis of the non-random and the BayesianCramer-Rao lower bound (CRLB) for the joint estimation of angle-of-arrival(AoA), angle-of-departure (AoD), and the multipath amplitudes, for themillimeter-wave (mmWave) wireless networks. Our analysis is applicable tomultipath channels with Gaussian noise and independent path parameters.Numerical results based on uniform AoA and AoD in $[0,\pi)$, and Rician fadingpath amplitudes, reveal that the Bayesian CRLB decreases monotonically with anincrease in the Rice factor. Further, the CRLB obtained by using beamformingand combining code books generated by quantizing directly the domain of AoA andAoD was found to be lower than those obtained with other types of beamformingand combining code books.

CRLB Calculations for Joint AoA, AoD and Multipath Gain Estimation in Millimeter Wave Wireless Networks