On the detection of low-rank signal in the presence of spatially uncorrelated noise: a frequency domain approach
Alexis Rosuel,
Philippe Loubaton,
Pascal Vallet
et al.
Abstract:This paper analyzes the detection of a M -dimensional useful signal modeled as the output of a M ×K MIMO filter driven by a K-dimensional white Gaussian noise, and corrupted by a M -dimensional Gaussian noise with mutually uncorrelated components. The study is focused on frequency domain test statistics based on the eigenvalues of an estimate of the spectral coherence matrix (SCM), obtained as a renormalization of the frequency-smoothed periodogram of the observed signal. If N denotes the sample size and B the… Show more
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