Paper Info
Title
Joint estimation of time difference of arrival and frequency difference of arrival for cyclostationary signals under impulsive noise
Abstract
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 α-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 α-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.
Year
DOI
Venue
2015
10.1016/j.dsp.2015.08.013
Digital Signal Processing
Keywords
Field
DocType
Cyclostationarity,α-Stable process,Impulsive noise,Time difference of arrival (TDOA),Frequency difference of arrival (FDOA)
Robustness (computer science),FDOA,Interference (wave propagation),Artificial intelligence,Doppler effect,Ambiguity function,Pattern recognition,Algorithm,Speech recognition,Multilateration,Gaussian noise,Cyclostationary process,Mathematics
Journal
Volume
Issue
ISSN
46
C
1051-2004
Citations 
PageRank 
References 
3
0.39
20
Authors
3
Name
Order
Citations
PageRank
Yang Liu141.08
Tianshuang Qiu231343.84
Jingchun Li393.60