摘要
针对CCSDS标准的RS码中交织深度和码组起始位置的盲识别问题,提出了基于GFFT的盲识别方法。该方法通过对RS码组进行GFFT运算,得到了其零频谱值个数与RS码的二进制生成多项式在伽罗华域上根的个数之间的关系,并以RS码组的零频谱值个数的均值作为判决参数构建了识别模型;此外,提出了一种选取最佳判决阈值的方法。仿真试验表明文中提出的方法在误码率低于7.5×10-3时,识别概率高于80%。
In order to solve the problem of the blind recognition of interlace depth and code-head of the Consultative Committee for Space Data Systems （CCSDS） RS coding, a blind recognition method based on Galois Field Fourier Transform （GFFT） was proposed. Using GFFF algorithm, the relationship between the number of zero value of Galois frequency domain of the RS codes and the number of the roots of binary generator polynomial of RS codes in Galois field was obtained. And the recognition model was established taking the mean value of zero value of Galois frequency domain of the RS codes as decision parameters. Moreover, a new method for selecting the optimal decision threshold in this model was also proposed. The simulation experiments show that the recognition probability of the proposed method is above 80% at a bit error rate of 7.5 x 10^ -3.
出处
《电光与控制》
北大核心
2011年第12期93-97,共5页
Electronics Optics & Control
基金
国家自然科学基金项目(60902017)
安徽省自然科学基金(10040606Q60)
