基于多特显点的无人机分布式相参雷达相位同步误差估计方法

分布式相参雷达(distributed coherent aperture radar,DCAR)买现全相参的关键是相位同步.然而,滤波器网格失配、单元雷达较强机动性及姿态变化等因素均会对DCAR的相位同步带来不利影响,为此,针对DCAR的相位同步问题,该文提出了一种基于多特显点的无人机DCAR相位同步误差估计方法.该...

Phase synchronization error estimation based on prominent scatterers for UAV distributed coherent aperture radar

For the distributed coherent aperture radar (DCAR), the precondition to realize fully coherent mode is phase synchronization. However, DCAR phase synchronization is influenced unfriendly owning to grid mismatch filtering, strong maneuverability with ceil radars, posture changes and so on. To solve that, a UAV DCAR phase synchronization error estimation method based on prominent scatterers is proposed. It takes advantage of the polynomial iteration method firstly to eliminate phase residual due to grid mismatch filtering, after which it implements DCAR posture compensation in accordance with inertial navigation system information. Then the Taylor estimation method is proposed to estimate the position error, and other phase errors can be derived by utilizing the self-correcting method. Finally, the DCAR system could realize calibration to accomplish phase synchronization. The numerical examples demonstrate the validity of the theoretical results.