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Genetic Algorithm Optimization of Bi-phase Codes: Surpassing Barker Code Performance in ISAC Applications

Authors:
Sevda Sahin
Tolga Girici

Keywords: Integrated Sensing and Communication (ISAC); Symbol Error Rate (SER); waveform design; Genetic Algorithm

Abstract:
This paper formalizes the ambiguity function for bi- phase coded waveforms in Integrated Sensing and Communication (ISAC) systems. Utilizing a generalized formula, this study optimizes the Peak to Side Lobe Ratio (PSLR) through a genetic algorithm, enhancing both radar and communication performances simultaneously. The optimized codes show substantial improvements in detection and transmission capabilities using traditional Barker codes, validating the proposed method’s efficacy. These results highlight the potential of bi-phase codes to revolutionize ISAC technologies by effectively balancing dual-function requirements.

Pages: 1 to 7

Copyright: Copyright (c) IARIA, 2026

Publication date: March 8, 2026

Published in: conference

ISSN: 2519-8432

ISBN: 978-1-68558-360-6

Location: Valencia, Spain

Dates: from March 8, 2026 to March 12, 2026