考虑输入噪声的混合调制拉格朗日明确时延估计改进算法

Wei XIA; Ju-lei ZHU; Wen-ying JIANG; Ling-feng ZHU

doi:10.1631/FITEE.1500417

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考虑输入噪声的混合调制拉格朗日明确时延估计改进算法

常规文章 | Updated：2022-05-19

- 考虑输入噪声的混合调制拉格朗日明确时延估计改进算法
- Anenhanced mixedmodulated Lagrange explicit time delay estimator with noisy input
- 信息与电子工程前沿（英文） 2016年17卷第10期页码：1067-1073
- Affiliations：
  
  1School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China
  2Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, New Jersey 07030, USA
- Author bio：
  
  E-mail: wx@uestc.edu.cn
  E-mail: zjluestc@163.com
  E-mail: jiangwy@yeah.net
  E-mail: zlf1050@outlook.com
- Funds：
  
  Project supported by the National Natural Science Foundation of China (No. 61101173), the State Scholarship Fund by the China Scholarship Council (CSC), and the Oversea Academic Training Funds (OATF) by University of Electronic Science and Technology of China (UESTC)
- DOI：10.1631/FITEE.1500417
  中图分类号： TN911
- 收稿：2015-11-28，
  
  录用：2016-6-6，
  
  纸质出版：2016-10
- Accepted：
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考虑输入噪声的混合调制拉格朗日明确时延估计改进算法[J]. 信息与电子工程前沿（英文）, 2016,17(10):1067-1073.

Wei XIA, Ju-lei ZHU, Wen-ying JIANG, et al. Anenhanced mixedmodulated Lagrange explicit time delay estimator with noisy input[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1067-1073.
考虑输入噪声的混合调制拉格朗日明确时延估计改进算法[J]. 信息与电子工程前沿（英文）, 2016,17(10):1067-1073. DOI： 10.1631/FITEE.1500417.

Wei XIA, Ju-lei ZHU, Wen-ying JIANG, et al. Anenhanced mixedmodulated Lagrange explicit time delay estimator with noisy input[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(10): 1067-1073. DOI： 10.1631/FITEE.1500417.

摘要

混合调制拉格朗日明确时延估计（mixed modulated Lagrange explicit time delay estimation

MMLETDE）算法可对窄带信号或正弦信号提供有效的时延估计。然而，该算法未考虑实际存在于输入端的加性观测噪声。针对该问题，本文利用已知噪声功率比，基于无偏脉冲响应估计技术，提出MMLETDE的一种改进算法。仿真结果表明，在中、高噪声场景下，该改进算法以小的滤波器阶数，实现了对窄带信号或较大频率范围内的正弦信号良好的时延估计。

Abstract

The mixed modulated Lagrange explicit time delay estimation (MMLETDE) algorithm provides an efficient time delay estimation between narrowband or sinusoidal signals. However

it does not explicitly consider the additive measurement noise at the input

which actually exists in practice. Aiming at this issue

an enhanced MMLETDE algorithm is proposed for noisy inputs based on the unbiased impulse response estimation technique

assuming that the noise power ratio is known a priori. Simulation results show that for narrowband signals or sinusoids over a wide frequency range

the proposed algorithm with a small filter order performs well in moderate and high noise scenarios.

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references

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