Error Detection in Turbo Decoding using Neural Network
S. Bhavanisankari1, G. T. Bharathy2, T. Tamilselvi3
1Ms. S. Bhavanisankari, Associate Professor, Department of ECE, Anna University, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
2Ms.G.T. Bharathy, Associate Professor, Department of ECE, Anna University, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
3Ms. T. Tamilselvi, Associate Professor, Department of ECE, Anna University, Jerusalem College of Engineering, Chennai (Tamil Nadu), India.
Manuscript received on 26 November 2019 | Revised Manuscript received on 08 December 2019 | Manuscript Published on 14 December 2019 | PP: 218-221 | Volume-9 Issue-1S October 2019 | Retrieval Number: A10391091S19/19©BEIESP | DOI: 10.35940/ijeat.A1039.1091S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper reduction of errors in turbo decoding is done using neural network. Turbo codes was one of the first thriving attempt for obtaining error correcting performance in the vicinity of the theoretical Shannon bound of –1.6 db. Parallel concatenated encoding and iterative decoding are the two techniques available for constructing turbo codes. Decrease in Eb/No necessary to get a desired bit-error rate (BER) is achieved for every iteration in turbo decoding. But the improvement in Eb/No decreases for each iteration. From the turbo encoder, the output is taken and this is added with noise, when transmitting through the channel. The noisy data is fed as an input to the neural network. The neural network is trained for getting the desired target. The desired target is the encoded data. The turbo decoder decodes the output of neural network. The neural network help to reduce the number of errors. Bit error rate of turbo decoder trained using neural network is less than the bit error rate of turbo decoder without training.
Keywords: Turbo Codes, Neural Networks, Encoder, Decoder, Bit Error Rate.
Scope of the Article: Neural Information Processing