This paper discusses the problem of extracting spread spectrum hidden data from the perspective of lattice decoding. Since the conventional blind extraction scheme multi-carrier iterative generalize least-squares (M-IGLS) and non-blind extraction scheme minimum mean square error (MMSE) suffer from performance degradation when the carriers lack sufficient orthogonality, we present two novel schemes from the viewpoint of lattice decoding, namely multi-carrier iterative successive interference cancellation (M-ISIC) and sphere decoding (SD). The better performance of M-ISIC and SD are confirmed by both theoretical justification and numerical simulations.

翻译：本文从格解码的角度讨论了扩频隐藏数据的提取问题。针对传统盲提取方案——多载波迭代广义最小二乘法(M-IGLS)与非盲提取方案——最小均方误差(MMSE)在载波缺乏足够正交性时性能下降的问题，我们从格解码的视角提出了两种新方案，即多载波迭代逐次干扰抵消(M-ISIC)和球形解码(SD)。通过理论论证和数值仿真验证了M-ISIC与SD的优越性能。