Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dingkun Huang"'
Publikováno v:
Defence Technology, Vol 33, Iss , Pp 352-363 (2024)
Uniform linear array (ULA) radars are widely used in the collision-avoidance radar systems of small unmanned aerial vehicles (UAVs). In practice, a ULA’s multi-target direction of arrival (DOA) estimation performance suffers from significant perfor
Externí odkaz:
https://doaj.org/article/8a8d26f4bf4a4795a24b634363675cf6
Publikováno v:
Defence Technology, Vol 32, Iss , Pp 393-404 (2024)
To solve the problem of the low interference success rate of air defense missile radio fuzes due to the unified interference form of the traditional fuze interference system, an interference decision method based Q-learning algorithm is proposed. Fir
Externí odkaz:
https://doaj.org/article/56ce044d184847ddae706ca3f3590a44
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 518 (2023)
It is a challenge for automatic modulation recognition (AMR) methods for radiation source signals to work in environments with low signal-to-noise ratios (SNRs). This paper proposes a modulation feature extraction method based on data rearrangement a
Externí odkaz:
https://doaj.org/article/123ae6e5b30c489d95a5fae170c2755c
Publikováno v:
Sensors, Vol 22, Iss 20, p 7783 (2022)
It is difficult for traditional signal-recognition methods to effectively classify and identify multiple emitter signals in a low SNR environment. This paper proposes a multi-emitter signal-feature-sorting and recognition method based on low-order cy
Externí odkaz:
https://doaj.org/article/936ee24b9a884e6ea9245ed64aafddf0
Publikováno v:
Defence Technology.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75f8d2a1f292adc8ca813e4c88ccbfe2
https://doi.org/10.1016/j.dt.2023.04.002
https://doi.org/10.1016/j.dt.2023.04.002
Publikováno v:
Chinese Physics B.
In view of the complexity of the existing linear frequency modulation (LFM) signal parameter estimation methods and the poor antinoise performance and estimation accuracy under a low signal-to-noise ratio (SNR), a parameter estimation method for LFM
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fc924798fcedd6ad9c83567c6ee93cd
https://doi.org/10.1088/1674-1056/aca206
https://doi.org/10.1088/1674-1056/aca206