
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
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
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发布时间:2019-03-09
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:EI、SCIE
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.