Signal-Selective DOA Tracking for Wideband Cyclostationary Sources

In this paper, a new signal-selective direction-of-arrival (DOA) tracking algorithm is presented for moving sources emitting narrowband or wideband cyclostationary signals. In this algorithm, DOAs of the sources are updated recursively based on the most current array output in a way that no data ass...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 55; no. 5; pp. 2007 - 2015
Main Authors Huiqin Yan, Fan, H.H.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.05.2007
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Applied sciences
Array signal processing
Arrays
Computer simulation
Covariance matrix
cyclostationarity
Detection, estimation, filtering, equalization, prediction
direction -of-arrival (DOA) tracking
Direction of arrival estimation
Emittance
Exact sciences and technology
Frequency estimation
Information, signal and communications theory
Interference suppression
Maximum likelihood estimation
Miscellaneous
Multiple signal classification
Narrowband
Noise
Signal and communications theory
Signal processing
Signal processing algorithms
Signal, noise
Target tracking
Telecommunications and information theory
Tracking
Wideband
Performance evaluation
Direction-of-arrival estimation
Parameter estimation
Target tracking
Moving target
Array signal processing
Noise reduction
Kalman filter
Signal estimation
Non stationary condition
Updating
Non stationary process
cyclostationarity
Algorithm
Narrow band
direction-of-arrival (DOA) tracking
Tracking filters
Wide band
Algorithm performance
Simulation
Recursive method
Signal processing
Signal detection
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Summary:In this paper, a new signal-selective direction-of-arrival (DOA) tracking algorithm is presented for moving sources emitting narrowband or wideband cyclostationary signals. In this algorithm, DOAs of the sources are updated recursively based on the most current array output in a way that no data association is needed. Furthermore, by exploiting cyclostationarity, interference and noise are suppressed. Thus, only sources of interest are tracked. It is also shown that via a Kalman filter, tracking performance of this algorithm could be further improved. The effectiveness of the proposed algorithm is demonstrated by simulations
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2007.893204