Novel data verification method

Abstract

The invention discloses a novel data verification method, which comprises the following steps of: 1, when a d-bit data code is transmitted, adding a p-bit verification code into the data code to forma new N-bit code word; 2, inserting the check code into the 2n position, and calculating the value of the check code; 3, newly adding a second check code to check the first check code, and newly adding a third check code to check the data code; 4, newly adding a first state code and a second state code, and checking the check code and the data code; and 5, grouping the check code and the data code. According to the method, the advantages of error code detection and automatic correction of a traditional Hamming code verification method are reserved while the code word redundancy is not increased, the error code detection capability and the data verification rate are improved, and the rapidity and accuracy of data transmission are greatly improved.

Description

technical field [0001] The invention belongs to the technical field of data control, and in particular relates to a novel data verification method, in particular to a novel data verification method suitable for an active optical control system. Background technique [0002] Data verification is a kind of verification operation to ensure the integrity of data. Usually, a specified algorithm is used to calculate a check value for the original data. The receiver uses the same algorithm to calculate the check value once. If the check value obtained by the two calculations is the same, it means that the data is complete. [0003] The existing data verification methods generally have the disadvantages of low error detection rate and slow verification speed. Taking the optical calibration in the active optical control system as an example, as large-scale ground-based telescopes have higher and higher requirements for the surface shape accuracy of the primary mirror, the traditiona...

AI Technical Summary

Problems solved by technology

[0004] 1. Accumulation and verification, the disadvantage is that the error detection rate is average. For example, if one byte is more than 1 and one byte is less than 1, there will be a misjudgment

[0005] 2. Parity check, its shortcoming is that the error detection rate is only 50%, it can only detect errors in odd numbers of data codes, and cannot detect errors in even numbers of data codes

[0006] 3. The disadvantage of CRC check is that calculating one by one will take up a lot of processor processing time, especially in the case of high-speed communication with certain requirements for transmission speed

[0007] Moreover, these data verification methods all use the mechanism of error code retransmission, which can only detect errors and cannot correct them, which greatly affects the speed of data transmission, and thus has a certain impact on the control accuracy of the main mirror surface shape.

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