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This paper addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous environment with compound-Gaussian clutter. The clutter covariances are assumed to be random and different from one transmit/receive pair to another with a priori knowledge about the environment. A two-step strategy is employed to design adaptive detector. Firstly, we obtain the generalized...
We present the problem of moving target detection with multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter. A new moving target detector based on the Wald criterion is devised according to the centralized processing scheme of MIMO radar system. Furthermore, the adaptive version of the proposed detector is investigated by in place of the exact covariance matrix with the fixed point...
This paper considers moving target detection for multiple-input multiple-output (MIMO) radar in compound-Gaussian clutter. A new detector is devised according to a centralized processing scheme for MIMO radar system based on the generalized likelihood ratio test (GLRT) design criterion. Then, an adaptive version of the derived detector is investigated. The fixed point estimation (FPE) strategy is...
This paper considers the moving target detection (MTD) problem for polarimetric multiple-input multiple-output (MIMO) radar in the presence of Gaussian clutter. By exploiting the polarimetric information, we devise two different generalized likelihood ratio tests (GLRTs) with a generic number of polarimetric channels, according to the centralized and distributed processing schemes of MIMO radar systems,...
In this paper, we focus on the performance improvement of constant false alarm rate (CFAR) detector in heterogeneous Compound-Gaussian background. This paper is motivated by the fact that the detectors' performance degradation when an unknown located clutter edge exists in the reference window that divide the data samples into two different independent and identically distributed (IID) Compound-Gaussian...
This correspondence introduces a waveform evaluation and selection strategy (ESS) for application of optimized phase-modulated (PM) waveforms to mitigate compound-Gaussian clutter in radar. This strategy addresses the trade-off between potential improvement in detection performance from adaptive design of PM waveforms and the cost this entails in terms of system resources. An evaluation factor is...
This work addresses the problem of adaptive multiple-input multiple-output (MIMO) radar detection in heterogeneous clutter. We first derive the generalized likelihood ratio test (GLRT) based on the two-step design procedure. Then, considering with the Bayesian framework and the prior knowledge about the clutter, we adopt the Maximum A Posteriori (MAP) estimator of the clutter covariance matrix and...
Heavy sea clutter seriously depresses the detection of distributed target. In this paper, an adaptive PM waveform design method with evaluation factor is proposed to suppress clutter energy and improve the detection performance. Simulations illustrate the effectiveness of this method.
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