通信感知计算

  • A7kzEB36cx
    了解作者
  • Python
    开发工具
  • 182.5KB
    文件大小
  • zip
    文件格式
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  • 1 积分
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  • 2022-11-28 13:44
    上传日期
通信感知一体化用到无人机,满足多个条件,机会难得。
JCAS_UAV-main.zip
  • JCAS_UAV-main
  • simple_tag.py
    5.7KB
  • algorithm.cpython-37.pyc
    12.5KB
  • simple_world_comm.py
    11.3KB
  • algorithm.cpython-36.pyc
    12.5KB
  • rendering.cpython-36.pyc
    14.4KB
  • scenario.py
    309B
  • environment.cpython-37.pyc
    8.1KB
  • train.py
    11.4KB
  • replay_buffer.cpython-37.pyc
    1.1KB
  • core.cpython-36.pyc
    5.6KB
  • rendering.cpython-37.pyc
    14.4KB
  • simple_reference.py
    3.3KB
  • sensing_assisted communication.rar
    94KB
  • simple_spread.cpython-36.pyc
    3.8KB
  • phase.m
    8.7KB
  • simple_speaker_listener.py
    3.4KB
  • simple_push.py
    4.2KB
  • policy.py
    1.9KB
  • __init__.py
    145B
  • core.cpython-37.pyc
    5.6KB
  • random_process.cpython-37.pyc
    2.1KB
  • multi_discrete.py
    2.3KB
  • unins000.dat
    4.1KB
  • replay_buffer.py
    862B
  • multi_discrete.cpython-36.pyc
    3KB
  • simple_crypto.py
    6KB
  • README.md
    1017B
  • scenario.cpython-36.pyc
    607B
  • DDPG.py
    10.8KB
  • scenario.cpython-37.pyc
    618B
  • random_process.py
    1.6KB
  • simple_spread.cpython-37.pyc
    3.8KB
  • __init__.cpython-37.pyc
    413B
  • simple_spread.py
    6.1KB
  • core.py
    6.8KB
  • __init__.cpython-36.pyc
    402B
  • replay_buffer.cpython-36.pyc
    1.2KB
  • multi_discrete.cpython-37.pyc
    3KB
  • environment.py
    12.6KB
  • environment.cpython-36.pyc
    8.1KB
  • rendering.py
    10.9KB
  • algorithm.py
    22.8KB
  • random_process.cpython-36.pyc
    2.1KB
  • simple.py
    2KB
  • simple_adversary.py
    5.8KB
内容介绍
# Joint Sensing and communication for cooperative UAV networks (To be continued...) Code for [*Integrated communication and sensing in UAV Swarms for Cooperative Multiple Targets Tracking*](https://www.computer.org/csdl/journal/tm/5555/01/09839387/1FisAbbVGV2) ## Basic partical raw sensing dataset has been updload, including UWB and MPU 6050. Some data for target detection and target information collection will be updated. The phases of antennas can be adjusted based on MIMO simulation. We estiblish a systemic simulation with a hardware-in-the-loop form, the data is collected based on pratical UAV nodes using DJI polit APP. The APP can conduct UAV trajectories based on automatic path planning or manual path planning operations. ALl the on-board sensors can acquire diverse sensing data and cache to mainfold computer, a miniaturized computer embeeded in DJI UAV. The computer can be regared as a cyber-twin system where we imitated the tracking performance based on historical tracking experiences.
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