Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise

Quadrupole resonance (QR) technology for the detection of explosives is of crucial importance in an increasing number of applications. For landmine detection, where the detection system cannot be shielded, QR has proven to be highly effective if the QR sensor is not exposed to radio-frequency interf...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 11; no. 5; pp. 490 - 493
Main Authors Yingyi Tan, Tantum, S.L., Collins, L.M.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.05.2004
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Asymptotic properties
Colored noise
Estimating
Estimators
Explosives
Ground penetrating radar
Landmine detection
Lower bounds
Magnetic noise
Noise
Non-Gaussian
Quadrupoles
Radar detection
Radio frequency
Radiofrequency interference
Resonance
RF signals
Statistical analysis
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Summary:Quadrupole resonance (QR) technology for the detection of explosives is of crucial importance in an increasing number of applications. For landmine detection, where the detection system cannot be shielded, QR has proven to be highly effective if the QR sensor is not exposed to radio-frequency interference (RFI). However, strong non-Gaussian RFI in the field is unavoidable. A statistical model of such non-Gaussian RFI noise is given in this letter. In addition, the asymptotic Cramer-Rao lower bound for estimating a deterministic QR signal in this non-Gaussian noise is presented. The performance of several convenient estimators is compared to this bound.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2004.826657