Abstract
We present an improved multichannel detection algorithm for use in nuclear quadrupole resonance (NQR) applications. The
presented method exploits spatial diversity and additional noise-only data to efficiently remove spatially and temporally
correlated noise and interference components from the measured data. Numerical investigations indicate that the “cleaner” data,
thus obtained, allows for improved estimates of the NQR signal parameters. These improved estimates, in turn, lead to superior
detection performance compared to the current state-of-the-art multichannel algorithms.
presented method exploits spatial diversity and additional noise-only data to efficiently remove spatially and temporally
correlated noise and interference components from the measured data. Numerical investigations indicate that the “cleaner” data,
thus obtained, allows for improved estimates of the NQR signal parameters. These improved estimates, in turn, lead to superior
detection performance compared to the current state-of-the-art multichannel algorithms.
| Original language | English |
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| Publication status | Published - 2011 |
| Event | 45th Annual Asilomar Conference on Signals, Systems, and Computers, 2011 - Pacific Grove, Pacific Grove, CA, United States Duration: 2011 Nov 6 → 2011 Nov 8 Conference number: 45 |
Conference
| Conference | 45th Annual Asilomar Conference on Signals, Systems, and Computers, 2011 |
|---|---|
| Country/Territory | United States |
| City | Pacific Grove, CA |
| Period | 2011/11/06 → 2011/11/08 |
Subject classification (UKÄ)
- Probability Theory and Statistics