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Optimal Precoders for Tracking the AoD and AoA of a mm-Wave Path

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In millimeter-wave channels, most of the received energy is carried by a few paths. Traditional precoders sweep the angle-of-departure (AoD) and angle-of-arrival (AoA) space with directional precoders to identify directions with largest power. Such precoders are heuristic and lead to sub-optimal AoD/AoA estimation. We derive optimal precoders, minimizing the Cram\'{e}r-Rao bound (CRB) of the AoD/AoA, assuming a fully digital architecture at the transmitter and spatial filtering of a single path. The precoders are found by solving a suitable convex optimization problem. We demonstrate that the accuracy can be improved by at least a factor of two over traditional precoders, and show that there is an optimal number of distinct precoders beyond which the CRB does not improve.

Nil Garcia, Henk Wymeersch, Dirk Slock• 2017

Related benchmarks

TaskDatasetResultRank
Trajectory InferenceDataset NLOS II
Avg Loc Error (Eloc)4.31
9
Trajectory InferenceDataset Single LOS II
Avg Loc Error (Eloc)3.82
9
Trajectory InferenceDataset Double LOS II
Avg Loc Error (Eloc)2.95
9
Trajectory InferenceDataset II (All)
Average Localization Error (Eloc)3.38
9
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