摘要
针对高误码率下的伪随机扰码快速盲识别问题,提出了一种结合基于m序列统计特征和基于卷积的快速相关攻击算法的盲识别方法。该方法通过基于m序列统计特性快速获得扰码器生成多项式和通过快速相关攻击准确获得扰码器初态。仿真实验表明,该方法与基于枚举法的扰码识别方法和快速相关攻击的扰码识别方法相比,在识别时间和识别正确率方面都有更好的性能表现。
To solve the recognition of pseudo-randomizer code under the condition of high bit-error rate, a new blind recognition method is proposed. Combining the statistical property of m-sequence and fast correlation attack mechanism based on convolutional codes, this method can fast recognize the generating polynomial based on m-sequence＇s statistical property and correctly find the initial state of linear feedback shift register（LFSR） through fast correlation attack mechanism. The simulation results show that this method outperforms exiting solutions（e.g., enumeration based solution and fast correlation attack based solution） in terms of recognition time and correct rate.
出处
《电子科技大学学报》
EI
CAS
CSCD
北大核心
2015年第4期500-504,共5页
Journal of University of Electronic Science and Technology of China
基金
国家973计划(2013CB329103)
关键词
误码率
盲识别
快速相关攻击
m序列统计特性
伪随机扰码
bit-error rate
blind recognition
fast correlation attack
m-sequence＇s statistical property
pseudo-randomizer code
