Local Ambiguity Function Shaping via Unimodular Sequence Design

This letter focuses on the local ambiguity function shaping through unimodular sequence design. An accelerated iterative sequential optimization (AISO) algorithm is proposed to minimize the average value of the weighted integrated sidelobe level (WISL) over specific Doppler bins and range bins of in...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 24; no. 7; pp. 977 - 981
Main Authors Cui, Guolong, Fu, Yue, Yu, Xianxiang, Li, Jian
Format Journal Article
LanguageEnglish
Published IEEE 01.07.2017
Subjects
Accelerated iterative sequential optimization (AISO)
Algorithm design and analysis
Computational complexity
Doppler effect
Gradient methods
Iterative algorithms
local ambiguity function
Sequential analysis
unimodular sequence
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Summary:This letter focuses on the local ambiguity function shaping through unimodular sequence design. An accelerated iterative sequential optimization (AISO) algorithm is proposed to minimize the average value of the weighted integrated sidelobe level (WISL) over specific Doppler bins and range bins of interest. We evaluate the effectiveness of the AISO algorithm in terms of its achieved WISL and computational complexity in comparison with the gradient method via numerical examples. The capability of using the design to detect high-speed targets is also evaluated.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2017.2700396