Signal carrier frequency estimation algorithm for electromagnetic wave measurement while drilling based on improved DSSS

SU Yi; XU Ze-wei; LIU Chen

doi:10.13873/J.1000-9787(2016)06-0117-03

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Signal carrier frequency estimation algorithm for electromagnetic wave measurement while drilling based on improved DSSS

更新时间：2025-09-11

- Signal carrier frequency estimation algorithm for electromagnetic wave measurement while drilling based on improved DSSS
- Vol. 35, Issue 6, Pages: 117-119+123(2016)
- 作者机构：
  
  1. 中国人民大学商学院
  2. 中国石油规划总院
  3. 九一金融信息服务(北京)有限公司
- 作者简介：
- 基金信息：
- DOI：10.13873/J.1000-9787(2016)06-0117-03
  CLC： O441.4
- Published：2016
- 稿件说明：
移动端阅览
[1]苏毅,许泽玮,刘晨.改进的DSSS电磁波随钻测量信号载频估计算法[J].传感器与微系统,2016,35(06):117-119+123.

SU Yi, XU Ze-wei, LIU Chen. Signal carrier frequency estimation algorithm for electromagnetic wave measurement while drilling based on improved DSSS[J]. 2016, 35(6): 117-119+123.
[1]苏毅,许泽玮,刘晨.改进的DSSS电磁波随钻测量信号载频估计算法[J].传感器与微系统,2016,35(06):117-119+123. DOI： 10.13873/J.1000-9787(2016)06-0117-03.

SU Yi, XU Ze-wei, LIU Chen. Signal carrier frequency estimation algorithm for electromagnetic wave measurement while drilling based on improved DSSS[J]. 2016, 35(6): 117-119+123. DOI： 10.13873/J.1000-9787(2016)06-0117-03.

摘要

为了解决随钻测量中电磁波信号的载频估计问题

基于直接序列扩频（DSSS）通信原理

建立了改进的电磁波信号载频估计法

该方法采用信号自适应干扰对消技术滤除噪声信号

然后再通过带通滤波技术获得DSSS信号的频带

从而提高了信号的信噪比（SNR）。在此基础上

建立了System View仿真模型

仿真结果表明:改进的载频估计法可以有效滤除噪声信号

精确地检测出电磁波信号的载波频率。

Abstract

In order to solve problem of carrier frequency estimation of electromagnetic wave signal in measurement while drilling

an improved carrier frequency estimation method is established based on direct sequence spread spectrum（ DSSS）. This method adopts adaptive interference cancellation technique to eliminate signal noise.Then

the frequency band of the DSSS signal is obtained through band-pass filtering

so then signal noise ratio（ SNR） is improved. On this basis

System View simulation model is established. Simulation results show that the improved DSSS can effectively eliminate noise signal and accurately detect carrier frequency of electromagnetic wave signal.

关键词

Keywords

references

一种新的变步长LMS自适应滤波算法研究及其应用 [J]. 张红梅,韩万刚. 仪器仪表学报 . 2015(08)

一种变步长符号梯度脉冲噪声对消算法 [J]. 李红. 重庆邮电大学学报(自然科学版) . 2014(05)

充气钻井随钻测量脉冲信号衰减规律 [J]. 李红涛,李皋,孟英峰,舒刚,朱宽亮,徐小峰. 石油勘探与开发 . 2012(02)

一种改进的LMS算法及其在噪声对消中的应用 [J]. 崔大鹏,行小帅,李竹,张辉. 计算机应用与软件 . 2011(03)

基于差分脉码调制的随钻测量数据压缩编码算法 [J]. 张煜,裘正定,熊轲,王升辉. 石油勘探与开发 . 2010(06)

一种新的变步长LMS自适应滤波算法及性能分析 [J]. 张中华,张端金. 系统工程与电子技术 . 2009(09)

基于四阶统计2-D切片的直扩信号多参数估计 [J]. 沈振惠,唐斌,吕燕,朱孝武. 信号处理 . 2005(03)

DSSS/BPSK及DS/CDMA信号参数估计方法的研究 [D]. 杨阳. 西安电子科技大学 2014

自适应滤波算法研究及应用 [D]. 孟小猛. 北京邮电大学 2010

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