Improved Hamming Code for Error Detection and Correction

U. Kumar, B. Umashankar
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引用次数: 53

Abstract

Hamming code is well known for its single-bit error detection & correction capability. To provide such a capability, it introduces 4 redundancy bits in a 7-bit data item. These redundancy bits are to be interspersed at bit positions 2n (n = 0, 1, 2, 3) with the original data bits. After error detection & correction, if any, the data bits have to be reassembled by removing the redundancy bits. In the proposed improvement the redundancy bits are appended at the end of data bits. This eliminates the overhead of interspersing the redundancy bits at the sender end and their removal at the receiver end after checking for single-bit error and consequent correction, if any. Further the effort needed in identifying the values of the redundancy bits is lower in the proposed novel method. Hamming code is normally used for transmission of 7-bit data item. Scaling it for larger data lengths results in a lot of overhead due to interspersing the redundancy bits and their removal later. In contrast, the proposed method is highly scalable without such overhead. Because of this feature it is suitable for transmission of large size data bit-streams with much lower redundancy bits per data bit ratio
改进的汉明码错误检测和纠正
汉明码以其单比特错误检测和纠错能力而闻名。为了提供这样的功能,它在一个7位数据项中引入了4个冗余位。这些冗余位将与原始数据位分散在2n (n = 0,1,2,3)位上。经过错误检测和纠错,如果有,数据位必须通过去除冗余位重新组装。在提出的改进中,冗余位被附加在数据位的末尾。这消除了在发送端散布冗余位的开销,以及在检查单位错误和随后的纠正(如果有的话)后在接收端删除冗余位的开销。此外,在该方法中,识别冗余位值所需的工作量更少。汉明码通常用于7位数据项的传输。将它扩展到更大的数据长度会导致大量的开销,这是由于冗余位的分散和稍后的删除。相比之下,所提出的方法具有高度可伸缩性,没有这种开销。由于这一特性,它适用于传输每数据比特比具有较低冗余比特数的大数据流
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