Novel Algorithm for Blind Estimation of Scramblers in DSSS Systems
- Authors
- Kim, Dongyeong; Yoon, Dongweon
- Issue Date
- Apr-2023
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Estimation; Codes; Spread spectrum communication; Linearity; Probability; Mathematical models; Computational complexity; Communication forensics; synchronous scrambler; self-synchronous scrambler; linear feedback shift register; non-cooperative context
- Citation
- IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, v.18, pp.2292 - 2302
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
- Volume
- 18
- Start Page
- 2292
- End Page
- 2302
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/185860
- DOI
- 10.1109/TIFS.2023.3265345
- ISSN
- 1556-6013
- Abstract
- In this paper, we propose a novel algorithm for blind estimation of a linear scrambler, which is a synchronous scrambler or a self-synchronous scrambler, in direct sequence spread spectrum systems and analyze its estimation performance. We first examine the statistics considering the linearity of the scrambled data and the repetition property of the spreading code. Based on this, we then propose an improved estimation algorithm for the feedback polynomial of the linear scrambler constituting a search process and a verification process of feedback polynomial candidates to determine the correct feedback polynomial of the scrambler. To validate the proposed algorithm, we show through computer simulations that the proposed algorithm outperforms the conventional algorithm in terms of estimation performance.
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