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Convolutional encoders and Viterbi decoders are the most commonly used channel encoders/decoders used for efficient extraction of message bits. Convolutional encoder used EXOR gates for generating the code bits. Conventional Viterbi decoders use Trellis diagrams for extracting the message bits. Architecture of Viterbi decoder includes Branch Metric Unit (BMU), Path Metric Unit (PMU) and SurvivorMemory...
Long term evolution (LTE)-advanced aims the peak data rates in excess of 3 Gbps for the next generation wireless communication systems. Turbo codes, the specified channel coding scheme in LTE, suffers from a low-decoding throughput due to its iterative decoding algorithm. One efficient approach to achieve a promising throughput is to use multiple Maximum a Posteriori (MAP) cores in parallel, resulting...
In this paper we present a detailed analysis into the benefits and costs of merging decoders for different channel code types such as convolutional, turbo and LDPC codes. An ASIP (application-specific instruction set processor)-based framework for multi-code forward error correction (FEC) architectures is applied to implement three dedicated decoders for convolutional, turbo and LDPC codes respectively...
In this paper, a novel low-power Viterbi decoder with soft decision is proposed. For the branch metric of the Viterbi decoder, our design employs a soft-decision method to improve its correction capability. In order to find the survivor path efficiently, we modify the classical Viterbi decoding algorithm into a new one. This new algorithm is similar to the register-exchange method with lower latency,...
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