Efficient removal of noise and interference in multichannel quadrupole resonance

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 NQR signal parameters. These improved estimates, in turn, lead to superior detection performance compared to the current state-of-the-art multichannel algorithms.