频控阵多输入多输出(FDA-MIMO)雷达是一种具有距离-角度-时间依赖性波束模式且能够提高自由度的系统.该文将可实现降低空气动力学对载体影响、附着在载体表面的共形阵列引入到FDA-MIMO雷达中.首先创建共形FDA-MIMO测量模型,推导参数估计的克拉默-拉奥下界(CRLB).为了避免传统三维多重信号分类算法(3D-MUSIC)三维搜索,提出一种降维多信号分类(RD-MUSIC)算法实现目标参数估计.仿真结果表明,该算法与3D-MUSIC算法相比,估计精度有所下降,但计算复杂度显著降低.此外,与3D-MUSIC算法相比,该算法具有更好的多目标距离估计性能.“,”Frequency Diverse Array (FDA) Multiple-Input Multiple-Output (MIMO) radar equipped with a FDA can possess beam patterns that are dependent on range, angle, and time, and it can increase the degree of freedom. This paper introduces a conformal array attached to the surface of the carrier, the array can reduce the aerodynamic impact on the carrier and reduce the cross section of the FDA-MIMO radar. First, the conformal FDA-MIMO measurement model is formulated, and a Cramér-Rao Lower Bound (CRLB) is derived to evaluate the parameter estimation performance. To avoid the three-dimensional search of the traditional three-dimensional MUltiple SIgnal Classification (3D-MUSIC) algorithm, a Reduced-Dimension MUltiple SIgnal Classification (RD-MUSIC) algorithm is proposed for parameter estimation. The simulation results demonstrate that the proposed algorithm has a slightly lower estimation accuracy than the 3D-MUSIC algorithm but a much lower computational complexity. In addition, the proposed algorithm has better range estimation performance for multiple targets than the 3D-MUSIC algorithm.