动平台分布式相参雷达自校准性能分析

Performance Analysis of Self-Calibration on Distributed Coherent Radar System with Moving Platforms

  • 摘要: 动平台分布式相参雷达可在保证雷达系统机动性、扩展性和低成本的同时获得高精度的目标估计性能。针对动平台分布式相参雷达存在的位置偏差和速度偏差,利用混合克拉美罗界(hybrid Cramer-Rao Bound,HCRB)工具对误差存在情况下的目标参数和雷达节点系统误差联合估计性能界进行建模和求解。对HCRB的紧致性进行分析之后,本文推导并仿真不可分辨情况下雷达节点系统误差对目标参数估计精度限制的解析式。通过解析式的推导,可以直观的分析雷达系统参数及拓扑参数对于目标参数估计精度的影响,有利于后续雷达系统硬件参数的选择和设计。

     

    Abstract: Distributed coherent radar on moving platforms can guarantee the mobility, scalability and low cost of the radar system while achieving high precision target estimation performance. Aiming at the position deviation and velocity deviation of the distributed coherent radar, the tightness of the hybrid Cramer-Rao bound (HCRB) is firstly analyzed in this paper. Then, the explicit expression of the angular estimation accuracy under the condition of unidentifiability is derived by using the HCRB. By solving the analytical solution formula, the influence of radar system parameters and topological parameters on the parameters to be estimated can be directly analyzed through the explicit expression, which is conducive to the selection and design of the hardware parameters of the radar system in the future.

     

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