Open AccessExtended target detection for OFDM cognitive radar
Author(s) -
Zhuang Shan.,
Fang Qingyuan,
Ren Bin
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
ISSN - 1350-911X
DOI - 10.1049/el.2016.2316
Subject(s) - subcarrier , orthogonal frequency division multiplexing , cognitive radio , computer science , radar , signal to noise ratio (imaging) , constraint (computer aided design) , algorithm , modulation (music) , power (physics) , electronic engineering , telecommunications , mathematics , engineering , wireless , channel (broadcasting) , acoustics , physics , geometry , quantum mechanics
The extended target detection problem for OFDM cognitive radar is considered. A subcarrier‐modulation method is proposed to improve the detection performance under peak‐to‐average power ratio (PAPR) constraint. The optimised weights are designed by semi‐definition relaxation followed with Gaussian randomisation. The simulation results show that the proposed method achieves great improvement in both signal‐to‐inference‐plus‐noise ratio and PAPR while striking a good balance between the two performances.