Multichannel Spectral Estimation: A State-Space Approach to Ocean Acoustic Processing

Spectral estimation is a necessary methodology to analyze the frequency content of noisy data sets especially in acoustic applications. In this paper, the performance of both nonparametric (periodogram) and parametric (state-space) multichannel spectral estimation methods are investigated when applied to synthesized noisy structural vibration data. It is demonstrated that for the multichannel problem state-space techniques provide improved performance.