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Angel estimation via frequency diversity of the SIAR radar based on Bayesian theory 被引量:2

Angel estimation via frequency diversity of the SIAR radar based on Bayesian theory
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摘要 The orthogonal signals of multi-carrier-frequency emission and multiple antennas receipt module are used in SIAR radar.The corresponding received echo is equivalent to non-uniform spatial sampling after the frequency diversity process.As using the traditional Fourier transform will result in the target spectral with large sidelobe,the method presented in this paper firstly makes the preordering treatment for the position of the received antenna.Then,the Bayesian maximum posteriori estimation with l2-norm weighted constraint is utilized to achieve the equivalent uniform array echo.The simulations present the spectrum estimation in angle precision estimation of multiple targets under different SNRs,different virtual antenna numbers and different elevations.The estimation results confirm the advantage of SIAR radar both in array expansion and angle estimation. The orthogonal signals of multi-carrier-frequency emission and multiple antennas receipt module are used in SIAR radar.The corresponding received echo is equivalent to non-uniform spatial sampling after the frequency diversity process.As using the traditional Fourier transform will result in the target spectral with large sidelobe,the method presented in this paper firstly makes the preordering treatment for the position of the received antenna.Then,the Bayesian maximum posteriori estimation with l2-norm weighted constraint is utilized to achieve the equivalent uniform array echo.The simulations present the spectrum estimation in angle precision estimation of multiple targets under different SNRs,different virtual antenna numbers and different elevations.The estimation results confirm the advantage of SIAR radar both in array expansion and angle estimation.
出处 《Science China(Technological Sciences)》 SCIE EI CAS 2010年第9期2581-2588,共8页 中国科学(技术科学英文版)
基金 supported by the Specialized Research Fund for the Doc-toral Program of Higher Education (Grant No. 200807010004) the National Natural Science Foundation of China (Grant Nos. 60776795, 60902079, 60902031), the Program for Changjiang Scholars and Innovative Research Team in University (PCSIRT) (Grant No. IRT0645)
关键词 synthetic IMPULSE and APERTURE RADAR Bayesian maximum POSTERIORI probability formulation frequency diversity l2-norm weighted constraint synthetic impulse and aperture radar Bayesian maximum posteriori probability formulation frequency diversity l2-norm weighted constraint
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