
Coherent integration and detection algorithm for hypersonic target based on modified pulse compression and Keystone transform
Author(s) -
Yu Wenchao,
Lu Xingyu,
Su Weimin,
Gu Hong,
Yang Jianchao
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/ell2.12321
Subject(s) - robustness (evolution) , algorithm , hypersonic speed , computer science , pulse compression , signal (programming language) , compressed sensing , signal processing , engineering , radar , telecommunications , aerospace engineering , biochemistry , chemistry , gene , programming language
This letter considers the coherent integration and detection for hypersonic target in the first‐order approximate (FOA) echo model. The proposed algorithm first accomplishes the modified pulse compression utilising the designed reference signal, then conducts the Keystone transform (KT) based coherent integration method to detect the target. Compared with the existing methods which model the received signal without considering the target's intrapulse motion, the proposed method has a lower modeling error and can maintain good noise robustness for weak hypersonic target detection. Experimental results are given to show the effectiveness of the proposed method.