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

Author

Tan, Yingyi ; Tantum, Stacy L. ; Collins, Leslie M.

Author_Institution

Dept. of Electr. & Comput. Eng., Duke Univ., Durham, NC, USA

Volume

11

Issue

5

fYear

2004

fDate

5/1/2004 12:00:00 AM

Firstpage

490

Lastpage

493

Abstract

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.

Keywords

landmine detection; nuclear explosions; nuclear quadrupole resonance; optical signal detection; radiofrequency interference; statistical models (nuclear); asymptotic Cramer-Rao lower bound; explosives detection; landmine detection system; nonGaussian noise; quadrupole resonance sensor; quadrupole resonance signal estimation; quadrupole resonance technology; radio-frequency interference; statistical model; Colored noise; Explosives; Ground penetrating radar; Landmine detection; Magnetic noise; RF signals; Radar detection; Radio frequency; Radiofrequency interference; Resonance;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/LSP.2004.826657

Filename

1288115