Open AccessDesign unimodular sequence train with low central and recurrent autocorrelation sidelobes via FFT‐based cyclic algorithm
Author(s) -
Zhao Dehua,
Wei Yinsheng,
Liu Yongtan
Publication year - 2017
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/el.2017.2157
Subject(s) - unimodular matrix , autocorrelation , fast fourier transform , algorithm , computation , sequence (biology) , computer science , binary golay code , mathematics , statistics , discrete mathematics , biology , genetics
The design of unimodular sequence train with low central and recurrent autocorrelation sidelobes is considered. The design problem is formulated as a minimisation of the integrated energy in central and recurrent autocorrelations with user‐supplied weights and an iterative method is proposed for it. The proposed method is computationally efficient, as its main computation can be implemented using FFT. Numeric results are reported to validate the proposed method.