Open AccessFast radar detection algorithm based on two‐dimensional non‐uniform trilinear autocorrelation function for manoeuvring target with jerk motion
Author(s) -
Liang Zhongying,
Li Yanyan,
Zhou Yan,
Wang Ling
Publication year - 2021
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/ell2.12152
Subject(s) - jerk , autocorrelation , algorithm , radar , computer science , range (aeronautics) , energy (signal processing) , artificial intelligence , mathematics , acceleration , engineering , physics , telecommunications , statistics , aerospace engineering , classical mechanics
This letter presents a fast detection algorithm based on a two‐dimensional non‐uniform trilinear autocorrelation function for the manoeuvring target with jerk motion. In the proposed algorithm, the echoes’ energy can be integrated into peaks in a three‐dimensional parameter space coherently, and the range migration and Doppler frequency migration can be compensated simultaneously. Compared with other representative detection algorithms, this proposed algorithm can achieve a good balance between the computational complexity and detection performance.