Pulse-order recursive method for inverse covariance matrix computation applied to space-time adaptive processing

Structured covariance estimation for space-time adaptive processing

Adaptive algorithms require a good estimate of the interference covariance matrix. In situations with limited sample support such an estimate is not available unless there is structure to be exploited. In applications such as space-time adaptive processing (STAP) the underlying covariance matrix is structured (e.g., block Toeplitz), and it is possible to exploit this structure to arrive at impr...

Adaptive First-Order Methods for General Sparse Inverse Covariance Selection

In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5], we formulate it as an l1-norm penalized maximum likelihood estimation problem. Further, we propose an algorithm framework, and develop two first-order methods, that is, the adaptive spectral projected gradient (ASPG) ...

The Empirical Likelihood method applied to covariance matrix estimation

This paper presents a new estimation scheme for signal processing problems in unknown noise field. The Empirical Likelihood has been introduced in the mathematical community, but, surprisingly, it is still unknown in the signal processing community. This estimation method is an alternative to estimate unknown parameters without using a model for the probability density function. The aim of this...

Space-time adaptive processing

Design of MIMO radar waveform covariance matrix for Clutter and Jamming suppression based on space time adaptive processing

This paper studies the optimization of waveform covariance matrix (WCM) for airborne multiple-input-multiple-output (MIMO) radar systems in the presence of clutter and jamming. The goal is to enhance the target detection performance by suppressing the clutter and jamming based on space time adaptive processing (STAP). We employ the signal-to-interference-plus-noise ratio (SINR) as the figure of...