Parity Check Matrix Estimation of k/n Convolutional Coding in Noisy Environment Based on Walsh-Hadamard Transform

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

KHAKSAR M.; KHALEGHI BIZAKI H.

Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2019 | Volume:17 | Issue:3 Page(s): 219-225

Download Full-Text

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Persian Verion

View:

707

Download:

Cites:

Information Journal Paper

Title

Parity Check Matrix Estimation of k/n Convolutional Coding in Noisy Environment Based on Walsh-Hadamard Transform

Author(s)

KHAKSAR M. | KHALEGHI BIZAKI H. | Issue Writer Certificate

Keywords

Software-defined radioQ1

convolutional codeQ1

parity check matrix estimationQ1

Walsh-Hadamard transformQ1

Abstract

Blind estimation of Physical layer transmission parameters, is one of the challenges for smart radios to adapt itself to network standards. These parameters could be transmission rate, modulation and coding scheme that is used for combating with channel errors. Therefore, Channel Coding Estimation, including code parameters, parity check matrix and generator matrix estimation, is one the interesting research topics in the context of software radios. Algebraic methods like Euclidean methods and Rank-based methods are usually performed on intercepted received sequence to estimate the code. Poor efficiency in a high error probability environment is the main drawback of this methods. Transform-based methods, like Walsh-Hadamard transform is one of the methods that could solve channel coding estimation problem. In this paper, new algorithm based on Walsh-Hadamard transform is proposed that could reconstruct the parity check matrix of convolutional code with general k/n rate in a high error probability environments (BER>0. 07), that has much better performance compared to other methods. This algorithm exploits algebraic properties of convolutional code in order to form k-n equation for estimation of k-n rows of the parity check matrix and then use Walsh-Hadamard transform to solve these equations. Simulation results verified excellent performance of the proposed algorithm in high error probability environments compared to other approaches.

Cites

No record.

References

No record.

Cite

APA: Copy

KHAKSAR, M., & KHALEGHI BIZAKI, H.. (2019). Parity Check Matrix Estimation of k/n Convolutional Coding in Noisy Environment Based on Walsh-Hadamard Transform. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, 17(3 ), 219-225. SID. https://sid.ir/paper/228072/en

Vancouver: Copy

KHAKSAR M., KHALEGHI BIZAKI H.. Parity Check Matrix Estimation of k/n Convolutional Coding in Noisy Environment Based on Walsh-Hadamard Transform. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ[Internet]. 2019;17(3 ):219-225. Available from: https://sid.ir/paper/228072/en

IEEE: Copy

M. KHAKSAR, and H. KHALEGHI BIZAKI, “Parity Check Matrix Estimation of k/n Convolutional Coding in Noisy Environment Based on Walsh-Hadamard Transform,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, vol. 17, no. 3 , pp. 219–225, 2019, [Online]. Available: https://sid.ir/paper/228072/en

Related Journal Papers