教授 博士生导师 硕士生导师
性别: 男
毕业院校: 大连理工大学
学位: 博士
所在单位: 生物医学工程学院
学科: 信号与信息处理. 生物医学工程
办公地点: 大连理工大学创新园大厦
联系方式: 电子邮箱:qiutsh@dlut.edu.cn; 电话:15898159801
电子邮箱: qiutsh@dlut.edu.cn
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论文类型: 期刊论文
发表时间: 2015-11-01
发表刊物: DIGITAL SIGNAL PROCESSING
收录刊物: SCIE、EI
卷号: 46
页面范围: 68-80
ISSN号: 1051-2004
关键字: Cyclostationarity; alpha-Stable process; Impulsive noise; Time difference of arrival (TDOA); Frequency difference of arrival (FDOA)
摘要: The problem of jointly estimating time difference of arrival (TDOA) and frequency difference of arrival (FDOA) or Doppler has a variety of practical applications. The conventional cyclic ambiguity function and the fractional lower-order ambiguity function suffer performance degradation in the presence of non-Gaussian alpha-stable impulsive noise and corruptive interference. To overcome these drawbacks, a new robust signal-selective algorithm for cyclostationary signals based on the fractional lower-order cyclostationarity is proposed. The new method makes use of cyclostationarity features and fractional lower-order statistics, and is highly tolerant to interference and robust to both Gaussian noise and non-Gaussian alpha-stable impulsive noise. The robustness and effectiveness of the proposed method in the presence of impulsive noise and interference are demonstrated by comparing it with the cyclostationarity-based and fractional lower-order statistics (FLOS)-based methods. (C) 2015 Elsevier Inc. All rights reserved.