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With the continuous development of modern communication technology , its application rapidly expanding field of wireless channel data have become increasingly demanding . However , in practical applications , the transmission data of the radio channel is very complex. When the transmission of digital signals , the channel time-varying , attenuation , bandwidth resources limited interference large , as well as additive noise impact is bound to cause the receiver receives the signal there is a certain error . In order to improve the quality of the wireless channel data , the bit error rate should be reduced to a minimum . Channel encoding technology is to reduce the bit error rate , the main technical means to improve communication quality one . This paper introduces a system framework and basic principles of digital communication systems , reviewing the history of the development of the channel coding technology , linear block codes , convolutional codes , RS codes , Turbo codes do detail and Matlab simulation and simulation results analyzed to derive the effective coding scheme , so that the communication can be both in a good environment or in the environment of relatively complex , can be efficient and reliable transmission of data . Due to the uncertainty of the communication environment , when transmitting data , for various reasons , can lead to the data generating random error and burst error . In accordance with the characteristics of the various codes , this design the corresponding coding scheme : first RS coded into the interleaver interleaving process the sequence of information and then a convolutional code encoded . Its key idea is : RS code is used to solve the existing the burst errors, interleaving the role of dispersion error location , and finally, the convolutional code is mainly to solve the random error . This encoding scheme is applied to a water quality detection system remotely , system application , using the above program , even in the case of the very harsh environmental conditions , the data service center can still be very accurately received the data from the data acquisition site , with good results .
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