Time-averaged subspace methods for radar clutter texture retrieval

Subspace approaches have become popular in the last two decades for retrieving constant amplitude harmonics observed in white additive noise because they may exhibit superior resolution over the FFT-based methods, especially with short data records and closely spaced harmonics. We demonstrate that M...

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Bibliographic Details
Published inIEEE transactions on signal processing Vol. 49; no. 9; pp. 1886 - 1898
Main Authors Gini, F., Giannakis, G.B., Greco, M., G. Tong Zhou
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.09.2001
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Additive noise
Applied sciences
Clutter
Colored noise
Context modeling
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Harmonics
Information, signal and communications theory
Mathematical models
Multiple signal classification
Music information retrieval
Noise
Noise cancellation
Radar detection
Retrieval
Signal and communications theory
Signal, noise
Speckle
Surface layer
Telecommunications and information theory
Texture
Wideband
High resolution
Noise reduction
Signal estimation
Subspace method
Harmonic analysis
Clutter
Texture
Statistical method
Interference suppression
Multiplicative noise
Time average
Radar
Signal processing
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Summary:Subspace approaches have become popular in the last two decades for retrieving constant amplitude harmonics observed in white additive noise because they may exhibit superior resolution over the FFT-based methods, especially with short data records and closely spaced harmonics. We demonstrate that MUSIC and ESPRIT methods can also be applied when the harmonics are corrupted by white or wideband multiplicative noise. The application context is the retrieval of texture information from high resolution and low grazing angle radar clutter data affected by wideband colored speckle that is modeled as complex multiplicative noise. Texture information is fundamental for clutter cancellation and constant false alarm rate (CFAR) radar detection. A thorough numerical analysis compares the two subspace methods and validates the theoretical findings.
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ISSN:1053-587X
1941-0476
DOI:10.1109/78.942618