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This paper addresses the problem of speckle covariance matrix estimation for Compound-Gaussian clutter. The speckle component is modeled as a low order autoregressive (AR) process. We derive the AR coefficients conditioned Likelihood function of the secondary data and propose an iterative approach for the optimizing problem under the criteria of Maximum-Likelihood (ML). We evaluate the performance...
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 paper mainly deals with the problem of detecting a target in SIRV clutter with steering vector mismatches. Assuming that the mismatch of the steering vector is satisfied the conic constraint, the generalized likelihood ratio test (GLRT) is devised, and the geometry explain is presented for the derived solution. Meanwhile, fixed point estimate (FPE) of the covariance structure is adopted using...
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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