Optimal Precoders for Tracking the AoD and AoA of a mm-Wave Path
About
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.
Related benchmarks
| Task | Dataset | Result | Rank | |
|---|---|---|---|---|
| Trajectory Inference | Dataset NLOS II | Avg Loc Error (Eloc)4.31 | 9 | |
| Trajectory Inference | Dataset Single LOS II | Avg Loc Error (Eloc)3.82 | 9 | |
| Trajectory Inference | Dataset Double LOS II | Avg Loc Error (Eloc)2.95 | 9 | |
| Trajectory Inference | Dataset II (All) | Average Localization Error (Eloc)3.38 | 9 |