基于Kalman滤波的分布式全相参雷达相参参数估计方法

针对运动目标,提出了基于Kalman滤波的相参参数(时间差和相位差)估计方法,建立了雷达本地坐标系及目标本体坐标系,给出了目标的运动模型及相参参数的数学模型;提出了利用正交信号对相参参数进行估计的方法,通过对待估参数进行推导分析,建立了状态方程和量测方程,提出了利用Kalman滤波算法对相参参数测量值进行滤波以提高参数的估计精度;仿真分析验证了基于Kalman滤波的相参参数估计方法的有效性. 

Coherent Parameters Estimation Using Kalman Filter in Distributed Coherent Aperture Radar

In distributed coherent aperture radar system, different transmitting signals from each unit radar are synthesized at target, where the coherent parameters including the time and phase offsets are key parameters for the realization of full coherence in distributed coherent aperture radar. In this paper, a coherent parameters estimation method for a moving target through Kalman smoothing was proposed. Firstly, the radar local coordinates and the target coordinates were described. The moving model of target and the mathematical expression of coherent parameters were presented. Then, an estimation method of coherent parameters based on orthogonal signals was given. After establishing the state and measurement mathematical model, a novel coherent parameters estimation method using Kalman filter was proposed to improve the estimation accuracy of coherent parameters. Finally, the simulations were carried out to illustrate the performance of proposed methods.