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The compound-Gaussian (CG) distribution with the inverse Gaussian (IG) texture is represented as the IG-CG distribution and validated to provide the better fit with the recorded clutter data than the traditional K distribution as well as the complex multivariate t distribution. In this paper, the adaptive detector of multiple-input multiple-output (MIMO) radar is firstly proposed in terms of the generalized...
Traditionally, the land or sea clutter with unknown covariance matrix is generally modeled as compound-Gaussian distribution with completely correlated texture in high-resolution (HR) radar. However, the detailed study on the measured clutter data from the search radar exhibits that the clutter satisfies compound-Gaussian distribution with partially correlated texture. The paper mainly addresses adaptive...
Traditional detection approaches for the dim target are analyzed under the background of homogeneous clutter. However, the realistic clutter scenarios commonly appear inhomogeneous. In this paper, an adaptive multiple-scan procedure is proposed to detect the weak target in the heterogeneous compound-Gaussian clutter. Numerical simulation results are provided to illustrate the efficiency of the proposed...
This paper mainly deals with the target detecting problem using polarimetric Multiple Input and Multiple Output (MIMO) radar with unknown covariance matrix. And the GLRT-based receiver is devised by resorting to the two-step design procedure. Specifically, the GLRT is devised with known covariance, and then, a suitable estimate of covariance is obtained using secondary data to plug into the derived...
This paper addresses the detection strategy of a single pulse for range-distributed targets. The background is assumed to be compound Gaussian-distributed clutter with partially correlated clutter. Firstly, the definition of information entropy is introduced. Then, a new nonparametric detection strategy based on Renyi's quadratic entropy is proposed. Moreover, we present numerical results for the...
In this paper, we first introduce the definition of spherically invariant random vector (SIRV) and then give the representation of Weibull distribution by SIRV and two detection algorithms for Weibull clutter. In particular, the optimum detector is derived for the distributed target by the Neyman-Pearson (NP) criterion. Since the optimum NP detector is impossible to realize at the practical situations,...
This paper mainly deals with the target detecting problem using a MIMO radar against compound-Gaussian clutter with an unknown covariance matrix. The space-time coding MIMO radar model has adopted, and developed to compound-Gaussian case. The detector based on generalized likelihood ratio test (GLRT) criterion is studied, and two-step design procedure is adopted. Specifically, the GLRT is derived...
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