"Radar active antagonism through deep reinforcement learning: A Way to ..."

Kang Li et al. (2021)

> Home

Details and statistics

DOI: 10.1016/J.SIGPRO.2021.108130

access: closed

type: Journal Article

metadata version: 2021-07-13

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/sigpro/LiJWLS21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sigpro/LiJWLS21
Kang Li, Bo Jiu, Penghui Wang, Hongwei Liu, Yuchun Shi:
Radar active antagonism through deep reinforcement learning: A Way to address the challenge of mainlobe jamming. Signal Process. 186: 108130 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.