Bit error correction method based on channel quality assessment

Abstract

The invention relates to a bit error correction method based on channel quality assessment. After a received data frame is input to a channel quality error correction system, the system checks the received data frame to judge whether the received data is correct; the data frame is output directly if the received data is correct, and if the received data frame does not pass checking, the system uses a channel quality sequence to find out data bits which are most likely to be wrong, inverse operation is carried out to form a new received data frame, the channel quality error correction system checks the new received data frame, and if new received data frame does not pass checking, the frame of data cannot be repaired and can only be discarded; and if the received data frame passes checking, the received data frame is recovered. By using the method, the most likely wrong receiving bits can be found out, the wrong receiving bits can be checked one by one or through group inverse operation, and more data frames can be repaired. The beneficial effects are as follows: on the premise of not increasing the channel overhead and under a given communication system, the sensitivity of a receiver is improved, the packet error rate is lowered, the quality of communication is improved, and the cost of system optimization is reduced.

Description

technical field [0001] The invention relates to communication technology, in particular to a bit-wise error correction method based on channel quality assessment, which provides a basis for data judgment and recovery through channel quality assessment, and effectively reduces the packet error rate. Background technique [0002] During data transmission, especially in long-distance transmission, due to the influence of various electromagnetic fields in the environment, errors in the transmitted data are likely to occur. Generally speaking, the larger the amount of data transmitted and the farther the transmission distance, the greater the possibility of errors. Implementing the error correction function by adding a parity bit or a parity byte can effectively reduce the impact of errors. Some verification schemes will discard the data or require retransmission if an error is found, and some verification schemes can locate the error location and correct it. Of course, the hig...

AI Technical Summary

Problems solved by technology

Receiver sensitivity is theoretically limited by noise power

Images