A Learning-Inspired Strategy to Design Binary Sequences With Good Correlation Properties: SISO and MIMO Radar Systems

In this paper, the design of binary sequences exhibiting low values of aperiodic/periodic correlation functions, in terms of Integrated Sidelobe Level (ISL), is pursued via a learning-inspired method. Specifically, the synthesis of either a single or a burst of codes is addressed, with reference to...

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Bibliographic Details
Published in:	IEEE transactions on aerospace and electronic systems Vol. 59; no. 5; pp. 1 - 19
Main Authors:	Rezaei, Omid, Ahmadi, Mahdi, Naghsh, Mohammad Mahdi, Aubry, Augusto, Nayebi, Mohammad Mahdi, De Maio, Antonio
Format:	Journal Article
Language:	English
Published:	New York IEEE 01-10-2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Algorithms Binary sequence design Codes complementary sets of sequence (CSS) Correlation integrated sidelobe level (ISL) Learning machine learning MIMO communication MIMO radar multiple - input multiple - output (MIMO) Optimization peak sidelobe level (PSL) Radar Radar equipment Sidelobes single - input single - output (SISO) SISO (control systems) SISO communication
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