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1. 浙江工业大学之江学院,浙江 绍兴 312030
2. 杭州师范大学阿里巴巴商学院,浙江 杭州 311121
[ "沈利华(1978−),女,浙江工业大学之江学院副教授,主要研究方向为电子商务技术、网络安全、算法设计等。" ]
[ "章剑林(1966−),杭州师范大学阿里巴巴商学院教授、副院长,主要研究方向为大数据、电子商务等。" ]
网络出版日期:2017-06,
纸质出版日期:2017-06-20
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沈利华, 章剑林. 基于公约式权重的截短线性分组码盲识别方法[J]. 电信科学, 2017,33(6):114-120.
Lihua SHEN, Jianlin ZHANG. Blind recognition of short linear block code based on the weight of common polynomial[J]. Telecommunications science, 2017, 33(6): 114-120.
沈利华, 章剑林. 基于公约式权重的截短线性分组码盲识别方法[J]. 电信科学, 2017,33(6):114-120. DOI: 10.11959/j.issn.1000-0801.2017194.
Lihua SHEN, Jianlin ZHANG. Blind recognition of short linear block code based on the weight of common polynomial[J]. Telecommunications science, 2017, 33(6): 114-120. DOI: 10.11959/j.issn.1000-0801.2017194.
针对通信信号侦察处理中的截短线性分组码的盲识别问题,提出了一种基于公约式权重最大化的识别方法。算法对侦收的码字序列进行不同长度的分段,计算分段码字与x
n
+1的最大公约式并按公约式阶数进行滤除,通过高阶公约式的个数估计码字长
度。同时根据公约式的出现概率定义公约式的权重,利用权重最大的公约式实现码字生成多项式的估计。仿真实验表明算法有效可行,并理论分析了算法的容错性和计算复杂度。和已有算法相比较,本文算法在相同的误码率条件下,具有更高的检测识别概率,且同时具备截短码字和非截短码字的识别能力。
According to the problem of a short linear block code in communication signal processing
an algorithm based on the maximal weight of common polynomial was proposed.Firstly
the received code sequence was divided with different lengths.Then the common polynomial of code words and x
n
+1 was obtained and filtered.The code length was estimated by the number of common polynomials.The weight was defined according to the probability of polynomial
and the generator polynomial was recovered according to the maximal weight.The validity and the performances of the blind recognition method were illustrated by the computer simulation results.The correct recognition rate of the algorithm is higher than that of the existing algorithms under the same bit error rate
and the method is applicable for both short codes and normal codes.
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