摘要
针对BCH码的盲识别问题,提出了一种基于稀疏沃尔什谱的识别方法。算法利用码字与对偶码乘积的码重估计码字的码长,然后利用沃尔什-哈达马变换求解线性方程组的数学模型,通过遍历不同码率,求解少量特定位置的稀疏沃尔什谱,根据谱值大小可实现BCH码的盲识别。仿真实验表明,该算法能够在较高误码率条件下实现对BCH码的盲检测与识别。
In order to solve the problem of blind recognition of BCH code, a method based on the sparse Walsh Spectrum is proposed. The product of code and its dual code is computed first, and the length of code is detected by weight of the product. The equations of linear system are solved through Walsh-Hadamard transform, different code rates are searched and a small amount of the Walsh Spectrum is computed, BCH codes can be detected from the Walsh Spectrum at last. Numerical examples are carried out to show that the BCH codes could be detected in the case of high error rate.
出处
《中国电子科学研究院学报》
2013年第2期156-160,共5页
Journal of China Academy of Electronics and Information Technology
基金
国家自然科学基金(61072120)
教育部新世纪人才支持计划资助课题
关键词
BCH码
沃尔什谱
盲检测与识别
BCH code
Walsh Spectrum
blind detection and recognition
