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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 216))

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Abstract

Random numbers are playing an increasingly important role in the modern information technology field. The methods for generating random numbers are mainly divided into two categories: analog and digital methods. Due to their portability and simple structure, digital methods have been widely used in communication and other fields. The digital method based on M-sequence is the mainstream method for generating random numbers. The existing M-sequence methods for generating random numbers have disadvantages such as insufficient period and insufficient bit width. In this paper, we propose a random number generation method based on FPGA hardware, which adds a multi-tap structure to M-sequence and synthesizes multiple parallel M-sequence outputs into a new random number generator. It implements a random number generator with arbitrary bit width and ultra-long period. Finally, we analyzed 512 k output sample data of the FPGA chip xcku040 used to implement this design. The experimental results verify the feasibility and superiority of the method.

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Correspondence to Zaiming Fu .

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Kong, D., Fu, Z., Wang, Q., Wu, Z. (2022). Methodology for Random Number Generation Based on FPGA. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_59

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