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邱天爽
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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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New HB-weighted time delay estimation algorithm under impulsive noise environment

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发布时间:2019-03-10

论文类型:期刊论文

发表时间:2008-12-01

发表刊物:JOURNAL OF SYSTEMS ENGINEERING AND ELECTRONICS

收录刊物:SCIE

卷号:19

期号:6

页面范围:1102-1108

ISSN号:1004-4132

关键字:HB weighted; time delay; covariation; fractional lower order covariance

摘要:The traditional HB-weighted time-delay estimation (TDE) method degenerates under the impulsive noise environment. Two new time-delay estimation methods are proposed based on fractional lower order statistics (FLOS) according to the impulsive characteristics of fractional lower order a-stable noises. Theoretic analysis and computer simulations indicate that the proposed covariation based HB weighted (COV-HB) algorithm can suppress impulsive noises in one received signal for 1 <= alpha <= 2, whereas the other proposed fractional lower order covariance-based HB weighted (FLOC-HB) algorithm has robust performance under arbitrary impulsive noise conditions for the whole range of 0 < alpha <= 2.

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