运动双基地MIMO雷达参数估计的克拉美罗界

在杂波环境下，该文研究了目标、发射站及接收站均运动时双基地多输入多输出(MIMO)雷达参数估计的克拉美罗界(CRB)。首先建立了运动双基地MIMO雷达的数学模型，推导了杂波背景下多目标参数估计CRB的一般表示式，然后给出了无杂波时单目标波离方向(DOD)、波达方向(DOA)以及速度CRB的闭式解，并分析了各参数对CRB性能的影响。理论与仿真实验表明:无杂波时的参数估计性能优于杂波背景下的参数估计性能；目标DOD(DOA)的估计性能与收发站速度、目标速度无关，而目标速度的估计性能将随着收、发站和目标速度的增大而下降。

Cramer-Rao Bounds for Estimating Parameter in the Moving Bistatic MIMO Radar

The present study aims to investigate the Cramer-Rao Bound (CRB) for estimating the direction and velocity of the moving target using the moving bistatic MIMO radar system in the clutter environment. Firstly, the bistatic MIMO radar signal model with the moving transmit and receive arrays is constructed. And the general CRB expression is derived for the direction and velocity of the moving multi-target contaminated by the clutter echoes. Then this study gets the closed-form CRB expressions for the Direction Of Departure (DOD), Direction Of Arrival (DOA) and velocity of a moving target in the clutter-free environment. The impact of some parameters on the CRB is analyzed depending on the closed-form expression. Theoretical analyses and computer simulations show that the estimation performance of the direction and velocity in a clutter-free environment is better than those of the clutter environment. The velocities of the arrays and target have no impact on the estimation performance of the target DOD (DOA), but strongly affect the estimation accuracy of the target velocity. The estimation performance of target velocity can lead to degradation as the velocity of arrays and target increase.