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Zhang B.-H.,PLA Air Force Aviation University | Zhang B.-H.,Key Laboratory of Wuhan Radar Academy | Xie W.-C.,Key Laboratory of Wuhan Radar Academy | Wang Y.-L.,Key Laboratory of Wuhan Radar Academy | Zhang Y.-S.,PLA Air Force Aviation University
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics

The clutter model of airborne bistatic radars is established firstly, then the characteristics of clutter power spectrum are analyzed based on the presented clutter model, and the performance of maximum likelihood estimation is compared with that of other conventional methods. Finally, a novel method, i. e. registration based on maximum likelihood non-uniform frequency sampling (RBMLNFS), is proposed to compensate the clutter range dependence of the airborne bistatic radar. In the proposed method, the amplitude of clutter of the airborne bistatic radar is estimated by means of maximum likelihood estimation, and the registration of clutter spectra is completed by the selection of clutter spectrum centres of training samples based on non-uniform frequency sampling. The simulation results manifest that clutter nonhomogeneity of the airborne bistatic radar can be solved effectively using the proposed method. Source

Hu X.Q.,National University of Defense Technology | Hu X.Q.,Key Laboratory of Wuhan Radar Academy | Chen H.,Key Laboratory of Wuhan Radar Academy | Wang Y.L.,Key Laboratory of Wuhan Radar Academy | Chen J.W.,Key Laboratory of Wuhan Radar Academy
Science China Information Sciences

In this paper, a novel blind mutual coupling self-calibration algorithm especially tailored to cross array is proposed. This method compensates for the mutual coupling not only between sensors in each subarray but also between two subarrays. Exploiting the property of coupling matrix, the proposed method requires neither the calibration sources in known locations nor the multidimensional nonlinear search. This method can jointly estimate the DOAs of the incoming signals and the unknown mutual coupling coefficients, and has high estimation precision and low computational burden. Theoretical analysis and computer simulations show the effectiveness of the proposed algorithm. © 2010 Science China Press and Springer-Verlag Berlin Heidelberg. Source

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