On a New SNR Estimation Approach with Polar Codes

Chaofan Chen; Jiayi Wu; Changhong Wang; Xiaqing Miao; Xiangyuan Bu

doi:10.1109/IMCEC51613.2021.9482090

On a New SNR Estimation Approach with Polar Codes

Chaofan Chen, Jiayi Wu, Changhong Wang, Xiaqing Miao, Xiangyuan Bu

Beijing Institute of Technology

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

4 引用（Scopus）

摘要

A maximum likelihood polar code-aided (ML-PCA) SNR estimation algorithm is proposed in this paper. In the ML-PCA algorithm, the posterior soft information of polar BP decoding is adopted to help the SNR estimation process. Benefiting from the excellent performance of polar code, the ML-PCA algorithm is able to acquire more reliable decoding information and further improve the SNR estimation quality. By detailed derivation, the SNR estimator and Cramér-Rao Lower Bound (CRLB) of the proposed algorithm are achieved. Numerical simulations demonstrate that the ML-PCA algorithm considerably outperforms the conventional M2M4 and ML-NDA algorithms.

源语言	英语
主期刊名	IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
编辑	Bing Xu
出版商	Institute of Electrical and Electronics Engineers Inc.
页	727-732
页数	6
ISBN（电子版）	9781728185347
DOI	https://doi.org/10.1109/IMCEC51613.2021.9482090
出版状态	已出版 - 18 6月 2021
活动	4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021 - Chongqing, 中国期限: 18 6月 2021 → 20 6月 2021

出版系列

姓名	IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference
ISSN（印刷版）	2693-2814
ISSN（电子版）	2693-2776

会议

会议	4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021
国家/地区	中国
市	Chongqing
时期	18/06/21 → 20/06/21

访问文件

10.1109/IMCEC51613.2021.9482090

其它文件与链接

链接到 Scopus 的出版物

引用此

Chen, C., Wu, J., Wang, C., Miao, X., & Bu, X. (2021). On a New SNR Estimation Approach with Polar Codes. 在 B. Xu (编辑), IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference (页码 727-732). (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IMCEC51613.2021.9482090

Chen, Chaofan ; Wu, Jiayi ; Wang, Changhong 等. / On a New SNR Estimation Approach with Polar Codes. IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. 编辑 / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 727-732 (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference).

@inproceedings{d3327c788aff472b8612c758a2441eb5,

title = "On a New SNR Estimation Approach with Polar Codes",

abstract = "A maximum likelihood polar code-aided (ML-PCA) SNR estimation algorithm is proposed in this paper. In the ML-PCA algorithm, the posterior soft information of polar BP decoding is adopted to help the SNR estimation process. Benefiting from the excellent performance of polar code, the ML-PCA algorithm is able to acquire more reliable decoding information and further improve the SNR estimation quality. By detailed derivation, the SNR estimator and Cram{\'e}r-Rao Lower Bound (CRLB) of the proposed algorithm are achieved. Numerical simulations demonstrate that the ML-PCA algorithm considerably outperforms the conventional M2M4 and ML-NDA algorithms.",

keywords = "CRLB, Signal-to-noise ratio, joint estimation, maximum likelihood, polar codes",

author = "Chaofan Chen and Jiayi Wu and Changhong Wang and Xiaqing Miao and Xiangyuan Bu",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021 ; Conference date: 18-06-2021 Through 20-06-2021",

year = "2021",

month = jun,

day = "18",

doi = "10.1109/IMCEC51613.2021.9482090",

language = "English",

series = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "727--732",

editor = "Bing Xu",

booktitle = "IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference",

address = "United States",

}

Chen, C, Wu, J, Wang, C, Miao, X & Bu, X 2021, On a New SNR Estimation Approach with Polar Codes. 在 B Xu (编辑), IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference, Institute of Electrical and Electronics Engineers Inc., 页码 727-732, 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021, Chongqing, 中国, 18/06/21. https://doi.org/10.1109/IMCEC51613.2021.9482090

On a New SNR Estimation Approach with Polar Codes. / Chen, Chaofan; Wu, Jiayi; Wang, Changhong 等.
IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. 编辑 / Bing Xu. Institute of Electrical and Electronics Engineers Inc., 2021. 页码 727-732 (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - On a New SNR Estimation Approach with Polar Codes

AU - Chen, Chaofan

AU - Wu, Jiayi

AU - Wang, Changhong

AU - Miao, Xiaqing

AU - Bu, Xiangyuan

PY - 2021/6/18

Y1 - 2021/6/18

N2 - A maximum likelihood polar code-aided (ML-PCA) SNR estimation algorithm is proposed in this paper. In the ML-PCA algorithm, the posterior soft information of polar BP decoding is adopted to help the SNR estimation process. Benefiting from the excellent performance of polar code, the ML-PCA algorithm is able to acquire more reliable decoding information and further improve the SNR estimation quality. By detailed derivation, the SNR estimator and Cramér-Rao Lower Bound (CRLB) of the proposed algorithm are achieved. Numerical simulations demonstrate that the ML-PCA algorithm considerably outperforms the conventional M2M4 and ML-NDA algorithms.

AB - A maximum likelihood polar code-aided (ML-PCA) SNR estimation algorithm is proposed in this paper. In the ML-PCA algorithm, the posterior soft information of polar BP decoding is adopted to help the SNR estimation process. Benefiting from the excellent performance of polar code, the ML-PCA algorithm is able to acquire more reliable decoding information and further improve the SNR estimation quality. By detailed derivation, the SNR estimator and Cramér-Rao Lower Bound (CRLB) of the proposed algorithm are achieved. Numerical simulations demonstrate that the ML-PCA algorithm considerably outperforms the conventional M2M4 and ML-NDA algorithms.

KW - CRLB

KW - Signal-to-noise ratio

KW - joint estimation

KW - maximum likelihood

KW - polar codes

UR - http://www.scopus.com/inward/record.url?scp=85116107135&partnerID=8YFLogxK

U2 - 10.1109/IMCEC51613.2021.9482090

DO - 10.1109/IMCEC51613.2021.9482090

M3 - Conference contribution

AN - SCOPUS:85116107135

T3 - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference

SP - 727

EP - 732

BT - IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference

A2 - Xu, Bing

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 4th IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference, IMCEC 2021

Y2 - 18 June 2021 through 20 June 2021

ER -

Chen C, Wu J, Wang C, Miao X, Bu X. On a New SNR Estimation Approach with Polar Codes. 在 Xu B, 编辑, IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference. Institute of Electrical and Electronics Engineers Inc. 2021. 页码 727-732. (IMCEC 2021 - IEEE 4th Advanced Information Management, Communicates, Electronic and Automation Control Conference). doi: 10.1109/IMCEC51613.2021.9482090

On a New SNR Estimation Approach with Polar Codes

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