We consider the adaptive target detection problem in colocated MIMO radar where
disturbance covariance matrix is unknown, and no training data are available. A tunable …

This paper deals with the problem of detecting a distributed target in interference and noise.
The target signal and interference are assumed to lie in two linearly independent …

This paper considers the detection of a target in a distributed radar system, wherein the
received reflections from the said target are contaminated with heterogeneous clutter …

Extensive work to develop and optimise signal processing for signals that are corrupted by
additive Gaussian noise has been done so far mainly because of the central limit theorem …

We consider the problem of estimating the parameters of a linear process with stable
innovations; the linear system may be non-causal and have mixed-phase (ie, poles and/or …

In recent years an abundance of technical papers and books have been written on several
topics of radar signal processing. The detection of radar targets against ground and sea …

This paper considers the problem of detecting a multichannel signal in the presence of
spatially and temporally colored disturbance. A parametric generalized likelihood ratio test …

One of the primary applications of higher order statistics has been for detection and
estimation of nonGaussian signals in Gaussian noise of unknown covariance. This is …

Time series modeling as the sum of a deterministic signal and an autoregressive (AR)
process is studied. Maximum likelihood estimation of the signal amplitudes and AR …

In this paper, a new algorithm is proposed for the classification of digital amplitude-phase
modulated signals in flat fading channels with time-correlated non-Gaussian noise. The first …