DSSS 시스템에서 변형 오류 허용 BM 알고리즘 기반 향상된 확산 부호 추정 기법

초록

In non-cooperative contexts, spreading codes must be blindly estimated to recover messages from Direct Sequence Spread Spectrum(DSSS) signals. In this paper, we propose a newly modified error-resilient Berlekamp-Massey(BM) algorithm and a spreading code estimation method based on it for efficient spreading code estimation in DSSS received signals with low signal-to-noise ratios, and analyze the estimation performance. To achieve this, we first estimate the spreading code using a conventional spreading code estimation algorithm, and then apply the proposed modified error-resilient BM algorithm. This algorithm significantly improves the estimation performance by outputting a linear sequence with an -degree generating polynomial among sequences with inputs having a maximum Hamming distance as the final spreading code. Finally, the computational complexity of the proposed method is examined, and through computer simulations, it is verified that the proposed method can estimate spreading codes with high accuracy.

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