文中为机动目标提出了一种宽带和窄带脉冲相结合的雷达运动参数估计方法。该方法采用相邻脉冲互相关法(CCAE)作为宽带估计方法,采用基于牛顿迭代的最大似然估计方法(MN)作为窄带估计方法。文中提出的融合方法具有两个优点。首先,融合方法利用CCAE的速度估计值作为MN方法的初始速度。由于CCAE的速度无模糊范围较大,能有效解决MN方法的速度模糊问题。其次,由于MN方法的距离和速度的估计精度对于初始加速度不敏感,该融合方法将CCAE的加速度估计值作为MN方法的最终加速度,把MN方法的三维搜索简化成二维搜索。分析了CCAE和MN方法的估计性能,并且比较了CCAE、MN方法和融合算法的计算复杂度。仿真结果表明:提出的宽窄带融合估计方法在距离和速度上拥有与MN方法相近的估计性能,并且拥有更低的计算量。

A wideband/narrowband fusion based motion estimation method is proposed for maneuvering target in this paper. In the fusion scheme, a fast motion parameters estimation method based on cross-correlation of adjacent echoes (CCAE) is adopted as the wideband estimation method. The maximum likelihood estimation with Newton's method (MN method) is used as the narrowband estimation method. The proposed fusion method comes with two advantages. First, in the fusion method, the estimated velocity by CCAE is used as the initial velocity of the MN method. Due to the large scope of the unambiguous velocity of CCAE, the velocity ambiguity problem of MN method is solved. Second, because the estimation precision of distance and velocity estimated by MN method is not sensitive to the initial acceleration, the estimated acceleration by CCAE can be used as the final acceleration of the MN method, and the three dimensional (3D) search of MN method is reduced to two dimensional (2D) search. The estimation performance and the computational cost of CCAE, MN method and fusion method are compared in this paper. Simulation results demonstrate that the proposed fusion method achieves similar estimation performances of distance and velocity with much lower computational cost, compared with the MN method.

TN957.52