Datasets:
Download task/Piyush/environment/baseline/controller.py from xhail/uav-array-codesign-rl: direct link, hf CLI and curl.
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- Download file 1.43 kB
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https://huggingface.co/datasets/xhail/uav-array-codesign-rl/resolve/main/task/Piyush/environment/baseline/controller.py
- Command line
-
hf download hf://datasets/xhail/uav-array-codesign-rl/task/Piyush/environment/baseline/controller.py
-
curl -L -o controller.py https://huggingface.co/datasets/xhail/uav-array-codesign-rl/resolve/main/task/Piyush/environment/baseline/controller.py
1.43 kB
| """Legacy open-loop controller (ignores attitude rotation, mutual coupling TARC, and jammers).""" | |
| from __future__ import annotations | |
| import math | |
| from typing import Any, Dict | |
| import numpy as np | |
| from hfss_sim.em_solver import steering_vector | |
| class AdaptiveLinkController: | |
| def __init__(self, antenna_design: Dict[str, Any]) -> None: | |
| self.antenna_design = dict(antenna_design) | |
| def reset(self, scenario_meta: Dict[str, Any]) -> None: | |
| pass | |
| def select_action(self, obs: Dict[str, Any]) -> Dict[str, Any]: | |
| # Naive bug: computes angles in world ENU frame without rotating into drone body frame, | |
| # ignores jammers, and uses fixed high power + fixed MCS. | |
| d_world = np.asarray(obs["gcs_pos_m"], dtype=np.float64) - np.asarray( | |
| obs["drone_pos_m"], dtype=np.float64 | |
| ) | |
| dist = float(np.linalg.norm(d_world)) | |
| if dist < 1e-6: | |
| theta = 0.0 | |
| phi = 0.0 | |
| else: | |
| u = d_world / dist | |
| theta = math.acos(float(np.clip(-u[2], -1.0, 1.0))) | |
| phi = math.atan2(float(u[1]), float(u[0])) | |
| a_gcs = steering_vector(self.antenna_design, theta, phi) | |
| w = np.conj(a_gcs) / np.linalg.norm(a_gcs) | |
| return { | |
| "weights_real": [float(x) for x in w.real], | |
| "weights_imag": [float(x) for x in w.imag], | |
| "tx_power_dbm": 35.0, | |
| "mcs_index": 2, | |
| } | |