PROJECT TITLE :

Robust Unambiguous Estimation of Angle-of-Arrival in Hybrid Array With Localized Analog Subarrays - 2018

ABSTRACT:

Hybrid array is ready to leverage array gains, transceiver sizes, and prices for huge multiple-input-multiple-output systems in millimeter-wave frequencies. Challenges arise from the estimation of angle-of-arrival (AoA) in localized hybrid arrays, because of the array structure and therefore the resultant estimation ambiguities and susceptibility to noises. This Project eliminates the ambiguities and enhances the tolerance to the noises based mostly on our new discoveries. Significantly, by planning new subarray-specific time-varying phase shifts, we have a tendency to discover that the cross-correlations between the gains of consecutive subarrays have consistent signs except the strongest. This allows the cross-correlations to be deterministically calibrated and constructively combined for the noise-tolerant estimation of the propagation section offset between adjacent subarrays. Given the phase offset, the AoA will be estimated unambiguously with few coaching symbols. We have a tendency to conjointly derive a closed-form lower bound for the mean square error of AoA estimation. Corroborated by simulations, our approach is in a position to dramatically improve estimation accuracy by orders of magnitude whereas reducing complexity and training symbols, as compared to the cutting-edge. With the ambiguities eliminated, the estimation errors of our technique asymptotically approach the lower sure, as coaching symbols increase.