Моделювання цифрової системи зв’язку з завадостійким кодуванням
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Файли
Дата
2017
Автори
Пятін, І.С.
Сергеєв, В.В.
Pyatin, I.S.
Sergeev, V.V.
Назва журналу
Номер ISSN
Назва тому
Видавець
Хмельницький національний університет
Анотація
В роботі розглядається один з способів побудови цифрової системи зв’язку з завадостійким кодуванням.
Розглядаються найбільш ефективні методи завадостійкого кодування сигналів для забезпечення оптимальної
якості передачі інформації по каналу зв’язку. Також розглядаються найбільш ефективні методи декодування
прийнятого сигналу на приймальній стороні.
The purpose of the work is to simulate and research methods for constructing a digital communications system with antinoise encoding. The article deals with the most effective methods of antinoise signal encoding in order to provide the optimal quality of transmission of information over the communication channel. Convolutional codes are codes that correct errors and use continuous or sequential processing of information with short fragments (blocks). The convolutional encoder has a memory the characters at its output depend not only on the information symbols, but also on the previous characters on its input. The state of the encoder is determined by the content of its memory. The classic error correction method is the Viterbi decoder, which is used to decode convolutional codes. This algorithm is optimal and easy to implement for short convolutional codes. Convolutional codes are used in most standards of data transmission systems, for example, in wireless networks, longrange space communications, satellite communications, and the like. As a result, the use of convolutional coding to increase the noise immunity of the link system is one of the best options. Due to its efficiency today, the convolutional codes are used by many digital communication systems. The communication system includes a message source, in this case the Bernoulli binary generator, convolutional code encoder, modulator, demodulator, decoder, message receiver. As a result of the research, it can be concluded that the use of verification codes to ensure a high level of noise immunity of the system is one of the best options, since they are one of the most efficient codes and inferior to the efficiency of only turbo codes. Another equally important advantage of convolutional coding is the relative simplicity of their decoding due to the Viterbi decoding algorithm.
The purpose of the work is to simulate and research methods for constructing a digital communications system with antinoise encoding. The article deals with the most effective methods of antinoise signal encoding in order to provide the optimal quality of transmission of information over the communication channel. Convolutional codes are codes that correct errors and use continuous or sequential processing of information with short fragments (blocks). The convolutional encoder has a memory the characters at its output depend not only on the information symbols, but also on the previous characters on its input. The state of the encoder is determined by the content of its memory. The classic error correction method is the Viterbi decoder, which is used to decode convolutional codes. This algorithm is optimal and easy to implement for short convolutional codes. Convolutional codes are used in most standards of data transmission systems, for example, in wireless networks, longrange space communications, satellite communications, and the like. As a result, the use of convolutional coding to increase the noise immunity of the link system is one of the best options. Due to its efficiency today, the convolutional codes are used by many digital communication systems. The communication system includes a message source, in this case the Bernoulli binary generator, convolutional code encoder, modulator, demodulator, decoder, message receiver. As a result of the research, it can be concluded that the use of verification codes to ensure a high level of noise immunity of the system is one of the best options, since they are one of the most efficient codes and inferior to the efficiency of only turbo codes. Another equally important advantage of convolutional coding is the relative simplicity of their decoding due to the Viterbi decoding algorithm.
Опис
Ключові слова
завадостійке кодування, згорткові коди, декодування Вітербі, antinoise coding, convolutional codes, Viterbi decoding
Бібліографічний опис
Пятін, І.С. Моделювання цифрової системи зв'язку з завадостійким кодуванням [Текст] / І. С. Пятін, В. В. Сергеєв // Вісник Хмельницького національного університету. Технічні науки. – 2017. – № 6. – С. 89-91.