Open AccessRobust design and evaluation of phase codes for radar performance optimization with a finite alphabet constraint
Author(s) -
Lu Jianhua,
Fan Tao,
Yu Xianxiang,
Li Yunpeng,
Cui Wei,
Tang Bin
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/ell2.12146
Subject(s) - mathematical optimization , algorithm , radar , convex optimization , optimization problem , quadratic equation , coding (social sciences) , constraint (computer aided design) , mathematics , computer science , regular polygon , statistics , telecommunications , geometry
This letter considers the robust design of radar waveform with discrete phase codes under constant modulus constraint to enhance target detectability. To solve the resultant max‐min non‐convex optimization problem, a robust discrete phase coding algorithm via iterative technology (R‐DPCA‐IT) is developed which monotonically improves the worst‐case SNR and has an upper bound ensuring to converge a finite value. At each iteration, the original multidimensional quadratic optimization problem is turned into multiple one‐dimensional optimization problems solved globally via line search. Finally, the computational time and objective value of the proposed algorithm are assessed in comparison with the existing methods.