Hardware Realization of Convolutional Encoder with rate R=1/2

  • #1
mad mathematician
28
5
Homework Statement
For ##R=1/2## convolutional encoder with a generator matrix ##G(x)=[1+x^2+x^3 1+x+x^3]##
1.draw the hardware realization of the encoder.
2. determine the convolutional matrix generator, G.
3. For the input sequence ##m=[1011011]## determine the coded output sequence.
Relevant Equations
In the attachment, there's the drawing where G2 is the output of G(x) second entry above and G1 is the first output in the first output entry above. D is the shift register.
Is my drawing correct?
As for item 2. I don't see how to get the convolutional matrix G from G(X) above, section 3 is just ##mG##, i.e multiplication of the message vector by ##G## (multiplication of a vector with a matrix from left to the matrix.)
Thanks in advance!
My attempt at solution says it all.
20241012_115425.jpg
 
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  • #2
OK, I think I get it now.
##G_0=[11], G_1=[01],G_2=[10],G_3=[11]##
So $$G=\begin{bmatrix}G_0& G_1& G_2& G_3\\
00 & G_0 &G_1 & G_2\\
00 & 00 & G_0 & G_1\\
00 & 00 & 00 & G_0\\\end{bmatrix}$$

Where I got G_i's as the coefficients of the respective polynomials.
 
  • #3
Well, G is inifinite dimensional so this matrix should repeat itself endlessly.
 

FAQ: Hardware Realization of Convolutional Encoder with rate R=1/2

What is a convolutional encoder with rate R=1/2?

A convolutional encoder with rate R=1/2 is a type of error-correcting code that takes a single input bit and produces two output bits. This means that for every bit of information, two bits are transmitted, providing redundancy that helps in error detection and correction during data transmission.

How is the hardware realization of a convolutional encoder implemented?

The hardware realization of a convolutional encoder can be implemented using digital circuits such as shift registers and combinational logic gates. Shift registers store the input bits, while the combinational logic generates the output bits based on the current input and the contents of the shift registers, following the encoder's polynomial structure.

What are the advantages of using a convolutional encoder with rate R=1/2?

The advantages of using a convolutional encoder with rate R=1/2 include improved error correction capability due to the higher redundancy, which allows for better performance in noisy communication channels. This rate also strikes a balance between bandwidth efficiency and error correction, making it suitable for various applications like satellite communications and wireless networks.

What are the common applications of convolutional encoders?

Common applications of convolutional encoders include digital communication systems such as satellite communication, mobile networks, and data storage systems. They are also used in protocols like Turbo codes and in conjunction with other coding techniques to enhance data integrity and reliability during transmission.

What tools or software are used to design and simulate convolutional encoders?

Several tools and software can be used to design and simulate convolutional encoders, including MATLAB, Simulink, and hardware description languages like VHDL or Verilog. These tools allow engineers to model the encoder's behavior, perform simulations, and analyze performance metrics such as bit error rates (BER) under various conditions.

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