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The authors consider the problem of covariance matrix estimation in heterogeneous environments for radar signal processing applications, where the secondary data exhibit heterogeneity in local power and share the same covariance structure. Without resorting to the complete statistical characterisation of the sample support, a class of estimators, each of them defined as the geometric barycenter of...
Coded pulse compression waveforms with matched filtering suffer from range sidelobe interferences. In this paper, we consider the estimating technique with side lobe suppression capability known as the linear minimum mean square error (LMMSE) based reiterated filtering, i.e. the adaptive pulse compression (APC). We derive the theoretical amplitude probability density function (PDF) of the APC estimation...
The recent proposed Adaptive Multi-Pulse Compression (AMPC) has been shown to successfully suppress both the range-Doppler sidelobes and clutter, but the implementation of AMPC is limited by the relatively high computational complexity in many current real-time systems. In this paper, a fast algorithm via dimensionality reduction approach is proposed for the proposed AMPC. Simulation results demonstrate...
Via the reiterative Maximum Signal Minus Interference Level (MSMIL) criterion and adaptive beamforming, a novel algorithm is proposed to suppress both the mutual interference and strong direct-path interference for shared-spectrum multistatic radar. Numerical results show advantages of the proposed method.
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...
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