Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise
Publication
, Journal Article
Tan, Y; Tantum, SL; Collins, LM
Published in: IEEE Signal Processing Letters
May 1, 2004
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.
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IEEE Signal Processing Letters
DOI
ISSN
1070-9908
Publication Date
May 1, 2004
Volume
11
Issue
5
Start / End Page
490 / 493
Related Subject Headings
- Networking & Telecommunications
- 4603 Computer vision and multimedia computation
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing
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Tan, Y., Tantum, S. L., & Collins, L. M. (2004). Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise. IEEE Signal Processing Letters, 11(5), 490–493. https://doi.org/10.1109/LSP.2004.826657
Tan, Y., S. L. Tantum, and L. M. Collins. “Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise.” IEEE Signal Processing Letters 11, no. 5 (May 1, 2004): 490–93. https://doi.org/10.1109/LSP.2004.826657.
Tan Y, Tantum SL, Collins LM. Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise. IEEE Signal Processing Letters. 2004 May 1;11(5):490–3.
Tan, Y., et al. “Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise.” IEEE Signal Processing Letters, vol. 11, no. 5, May 2004, pp. 490–93. Scopus, doi:10.1109/LSP.2004.826657.
Tan Y, Tantum SL, Collins LM. Cramer-Rao lower bound for estimating quadrupole resonance signals in non-Gaussian noise. IEEE Signal Processing Letters. 2004 May 1;11(5):490–493.
Published In
IEEE Signal Processing Letters
DOI
ISSN
1070-9908
Publication Date
May 1, 2004
Volume
11
Issue
5
Start / End Page
490 / 493
Related Subject Headings
- Networking & Telecommunications
- 4603 Computer vision and multimedia computation
- 4009 Electronics, sensors and digital hardware
- 4006 Communications engineering
- 1005 Communications Technologies
- 0906 Electrical and Electronic Engineering
- 0801 Artificial Intelligence and Image Processing