Application of the multiple signal classification (MUSIC) method for one-pulse burst-echo Doppler sonar data

Abstract

In order to estimate ship velocity, we have applied the multiple signal classification (MUSIC) method to one-pulse burst-echo Doppler sonar data. The MUSIC method enabled us to estimate the Doppler frequency shift precisely under a low-signal-to-noise ratio (SNR) situation even from a one-pulse burst-echo signal with small data points. In simulation experiments, a signal frequency component of f = 16 Hz could be extracted from N = 128 data-point data under a 40% Gaussian-distributed additive noise with a sampling frequency fs = 2048 Hz. From actual one-pulse burst-echo signal data of N = 128 points, a Doppler frequency shift of Δf = 1.45 kHz, corresponding to a ship velocity 1.76 knots, was clearly detected, the frequency resolution of which was almost impossible to attain by the conventional Fourier transform (FFT) method. We found that the MUSIC method was useful especially for estimating the ship velocity at a very low speed.

On secondary and tertiary instability in electromagnetic plasma microturbulence

“…To further strengthen this point, the frequency analysis algorithm PMUSIC [51] was used on CBC data in order to obtain better access to subdominant frequencies. For this technique, the (z-averaged) electrostatic potential at a given k y was analyzed according to the following prescription: A data matrix is constructed whose upper half contains the input data divided into overlapping windows-the lower half contains the transpose and complex conjugate of the same data.…”

Space–time receiver for spread spectrum communication systems with beam tracking

“…We employed the excellent autocorrelation of the spread spectrum sequence to solve the problem of DOA estimation failure caused by a coherent signal source. This allowed the multiple signal classification (MUSIC) algorithm [12][13][14] with high estimation accuracy to be used under the condition of a coherent signal source without element loss. DOA estimation using the MUSIC algorithm in this study is less computational than conventional broadband DOA methods, such as the incoherent signal subspace method (ISM) [15].…”

Plane Wave Spectra Estimation in Two-Dimensional Reverberation Chamber

“…As plane wave distributions are often used to model indoor and urban propagation channels, it is of great interest to use a similar representation in an RC in order to relate its performance to practical multi-path environments where devices under test are used. The estimation of the directions of arrival (DOA) of wave fronts on an array of sensors is a common problem for many fields, including radar, sonar (Iwata et al, 2001), radio astronomy, and mobile communications (Fuhl et al, 1997). Fourier analysis is the simplest technique to determine the plane wave angular distribution in space; however, it suffers from a poor angular resolution for a limited observation surface (as in an RC), generates secondary lobes that disturb the result interpretation, and necessitates a high number of sensors.…”