During the last years, recursive systematic convolutional (RSC) encoders have found application in modern telecommunication systems to reduce the bit error rate (BER). In view of the necessity of increasing the throughput of such applications, several approaches using hardware implementations of RSC encoders were explored. In this paper, we propose a hardware intellectual property (IP) for high throughput RSC encoders. The IP core exploits a methodology based on the ABCD matrices model which permits to increase the number of inputs bits processed in parallel. Through an analysis of the proposed network topology and by exploiting data relative to the implementation on Zynq 7000 xc7z010clg400-1 field programmable gate array (FPGA), an estimation of the dependency of the input data rate and of the source occupation on the parallelism degree is performed. Such analysis, together with the BER curves, provides a description of the principal merit parameters of a RSC encoder.

https://www.mdpi.com/2078-2489/10/4/151/pdf

A High Throughput Hardware Architecture for Parallel Recursive Systematic Convolutional Encoders

Turbo codes for telemedicine applications

In the last two decades, the healthcare systems have changed drastically. People live a healthier and longer life because of organized, well-developed healthcare facilities including ‘At Home’ hospitals especially for patients suffering from neuromuscular abnormalities that include myopathy, muscular dystrophy, spinal muscular atrophy, and myositis. A new paradigm of treatment is an initial consultation with remotely seated doctors aptly termed as telemedicine. The EMG signal is one of the biomedical signals representing neuromuscular activities that estimate electrical current flow created in muscles during its contraction and is used to identify several diseases. Continuous health monitoring of the patients is required especially for patients suffering from neuromuscular abnormalities. In this approach, considering the properties of EMG data, an efficient parallel concatenated turbo coding is done and then the signal is transmitted over the AWGN channel. A Log-MAP decoding algorithm is used to retrieve the original EMG signal, and the BER performance is analyzed.

Reliable Transmission of EMG Signal in Telemedicine for Myopathy Patients

In mobile communication, transmission should be with least delay meeting the performance requirements. Turbo code has proven its effectiveness in the field of wireless communication system. The purpose of this paper is to implement the LOG MAP Turbo Decoder in VHDL. As it helps to achieve the highest coding gain therefore It is said, the best coding scheme for the error correction in high-speed wireless communication systems. However, the implementation of various Turbo Decoders suffers from a large propagation delay and high power consumption. For this reason, they are not suitable for Mobile communication applications. Hence, by implementing a Log Map Turbo Decoder in mobile handsets would make the processing fast as well as increase the quality of signal and accuracy of our whole system. It can be created by a serial connection of a turbo encoder and a decoder. The purpose of this paper is to implement the LOG MAP Turbo Decoder in VHDL with minimized delay.

Ishtendra Pratap Singh

Papers

Performance enhancement of LOG MAP Turbo Decoder for mobile applications