The paper considers direction of arrival (DOA) estimation from long-term observations in a
very noisy environment. The concern is to derive methods obtaining reasonable DOAs at …

The acoustic vector sensor (AVS) has a wide application in the direction of arrival (DOA)
estimation of sound sources including aircraft, underwater or on-land vehicles, search-and …

Gaussian processes (GP's) have been used to predict acoustic fields by interpolating under-
sampled field observations. Using GP interpolation to predict fields is advantageous …

Horizontal line arrays are often employed in underwater environments to estimate the
direction of arrival (DOA) of a weak signal. Conventional beamforming is robust but has wide …

We propose a GARCH model to represent the clutter in radar applications. We fit this model
to real sea clutter data and we show that it represents adequately the statistics of the data …

This paper discusses the asymptotic properties of the two-stage least-squares (TSLS)
estimator of the parameters of multivariate autoregressive conditional heteroscedasticity …

In this paper, we propose an iterative adaptive dictionary learning algorithm for multiple
snapshot direction-of-arrival (DoA) estimation, which is based on the simultaneous …

In this paper, a novel time series heteroskedastic model is proposed for sea clutter modeling
application. In the light of characteristics of the practical clutter at low grazing angle, the …

This work investigates the detection of non-cooperative underwater acoustic pulse signals at
low signal-to-noise ratio (SNR). A variable scale relative entropy (VSRE) pulse signal …

In this paper, we consider the theoretical performance analysis of a DOA (direction-of-
arrival) estimation method using GARCH (generalized autoregressive conditional …