Figure 2. Constraint length (K)=7, code rate (r)=1/2 convolutional. encoder. Implementation of Convolutional Encoder and Viterbi Decoder using Verilog HDL . Implementation of Convolutional Encoder and Viterbi Decoder using VHDL. Conference Paper (PDF Available) ยท December with 2, Reads. Request PDF on ResearchGate | Paper: VHDL Implementation of Convolutional Encoder and Viterbi Decoder | In digital communication the.

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An Experimental Implementation of Convolution Encoder and Viterbi Decoder by FPGA Emulation

This can be realized by applying clock gating-scheme [18]. For edcoder purpose of describing the timing waveform, only selected signals of the system are shown in Figure 3.

The survivals are passed to convolutiknal unit, which will carry out traceback decoding. With the satisfaction of the functional verification of design, the encoder and decoder are synthesized using Xilinx ISE 8. Each memory bank has 6 states: The design of the decoder system has proved to be very complicated due to its nature of complexity and time constraint.

The branch metric computation block computes the branch metrics for each branch. The schematic diagram for output unit is shown as below.

Design and Implementation of Viterbi Decoder Using VHDL – IOPscience

The results obtained from synthesis, simulation and hardware testing were accurate, error-free in recovering the original information successfully. This process was followed by the synthesis of the description of design to generate a gate level circuit. The test system functions as an off-line testability and employs an on-chip circuitry as part of the decoder design to accomplish testing and make decoding circuits easily testable.


Related article at PubmedScholar Google. Fabian Schuh, Johannes B.

This happens due to the fact that there is no need to activate the registers after updating hence the switching activity reduces decreasing power dissipation. VHDL is used for the whole design. This project has proved to be a positive learning convolutiona, both for an engineering profession and to design a considerably complicated system.

Few categories of algorithms that already exist for such purpose are listed below:.

Design and Implementation of Viterbi Decoder Using VHDL

The Viterbi algorithm has a high complexity for computation, but it does the maximum likelihood decoding. In maximum likelihood sense this is the most optimal algorithm for decoding of a convolution code. Simple Block Diagram of the Encoder System. The behavioral and timing simulation of the design has been performed convolutkonal there results are shown in the next two sections.

Convolution codes were first introduced in by Elias as FEC coding scheme [4]. A matched decoding scheme for convolutionally encoded transmission is required at the receiving end. An 8 bit adder is used for path metric calculation. The rightmost digit leaving the 5-stage register is lost.


VHDL language is used as a design entry. The code can be recovered significantly even in the presence of noise. So when a complete code word is received, decoded output sequence is readily available.

This technique improves the error protection of the information symbols at the end of encoded message. Translating block diagram in Figure 2.

Not particularly on the space channel but also in many instances on satellite channels, sufficient bandwidth is available to permit moderate bandwidth expansion. This path is based on decisions computed by the ACS unit.

By using a FPGA a massive parallel execution of the code can be employed, hence an increased throughput. In this work, the Maximum-Likelihood algorithm with the hard decision has decodeg employed. In hard decision, miplementation received signal is converted into only two levels, i. We implement Viterbi algorithm in decoder to decode convolutional codes. Convolution encoding scheme can be devised for correcting random error, burst errors or both [6].

The output sequence generator block estimates the original input sequence applied to the encoder. Generation of Decoded Output Sequence: