Low Complexity SNR Estimation for Linear Modulations on AWGN Channel

被引：0
作者：
Yan, Chaoxing [1 ]
Wang, Hua [1 ]
Wu, Nan [1 ]
Kuang, Jingming [1 ]
机构：
[1] Beijing Inst Technol, Sch Informat & Elect, Dept Elect Engn, Beijing 100081, Peoples R China
来源：
2012 IEEE 75TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2012年
关键词：
SNR estimation; AWGN; linear modulations; mean square error;
D O I：
暂无
中图分类号：
TN [电子技术、通信技术];
学科分类号：
0809 ;
摘要：
In this paper, we propose a novel signal-to-noise ratio (SNR) estimation method for linear modulations on additive white Gaussian noise (AWGN) channel. It estimates noise power directly without estimating the received total power. The estimation mean and mean square error (MSE) are analyzed theoretically and verified by simulations. Results show that the proposed SNR estimator performs better at low SNR than the conventional estimators while it suffers a little degradation at high SNR. Moreover, the proposed estimator can be implemented with less real multiplications than the conventional ones.
引用
收藏
页数：5
相关论文
共 48 条
  • [41] Channel Estimation and Equalization Design with SNR Decision Based Universal Threshold for Sub-THz Single Carrier Baseband Receiver
    Liao, Feng-Ju
    Tu, Chung-Lun
    Jou, Shyh-Jye
    2024 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, ISCAS 2024, 2024,
  • [42] Low-Complexity Blind Parameter Estimation in Wireless Systems with Noisy Sparse Signals
    Gallyas-Sanhueza, Alexandra
    Studer, Christoph
    IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (10) : 7055 - 7071
  • [43] Analysis of a Sufficient Condition on the Optimality of a Decoded Codeword of Soft-Decision Decodings for Binary Linear Codes on a 4-Level Quantization over an AWGN Channel
    Kusaka, Takuya
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2018, E101A (03): : 570 - 576
  • [44] DESIGN OF LOW PAPR PREAMBLE AND PILOT SYMBOL FOR CHANNEL ESTIMATION IN OFDM SYSTEMS
    Manasseh, Emmanuel
    Ohno, Shuichi
    Nakamoto, Masayoshi
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2011, 7 (01): : 39 - 50
  • [45] A low-complexity suboptimal filter for continuous-discrete linear systems with parametric uncertainties
    Shin, Vladimir
    Kim, Du Yong
    Shevlyakov, Georgy
    Kim, Kiseon
    SIGNAL PROCESSING, 2007, 87 (10) : 2392 - 2406
  • [46] Low complexity single-layer neural network for enhanced rainfall estimation using microwave links
    Daher, Ali
    Al Sakka, Hassan
    Chaaban, Khaled
    JOURNAL OF HYDROINFORMATICS, 2023, 25 (01) : 101 - 112
  • [47] An analysis of Computational Complexity of Low Level Quantizers for Block Turbo Decoding for Product Codes of Binary Linear Code
    Kageyama, Shinichi
    Ikuta, Ken
    Nanjo, Yuki
    Kodera, Yuta
    Kusaka, Takuya
    Nogami, Yasuyuki
    2019 SEVENTH INTERNATIONAL SYMPOSIUM ON COMPUTING AND NETWORKING WORKSHOPS (CANDARW 2019), 2019, : 425 - 429
  • [48] Cost-effective quaternion minimum mean square error estimation: From widely linear to four-channel processing
    Xiang, Min
    Took, Clive Cheong
    Mandic, Danilo P.
    SIGNAL PROCESSING, 2017, 136 : 81 - 91
12345