Two-dimensional (2-D) direction of arrival (DOA) estimation exploiting interlaced uniform planar array (IUPA) motion is discussed in this paper, and a Discrete Fourier Transform cascading Taylor Expansion (DFT-TE) algorithm is proposed. Specifically, the proposed IUPA structure possesses larger inter-element spacing than traditional uniform planar array (UPA), and it can mitigate the mutual coupling effectively. Simultaneously, the proposed IUPA structure is suitable for array motion. The synthetic IUPA generated by IUPA motion can offer more available array sensors and better DOA estimation performance than synthetic UPA and synthetic sparse uniform planar array (SUPA). Furthermore, considering the high computational complexity of 2-D DOA estimation, we propose the DFT-TE method. The DFT-TE method requires neither eigenvalue decomposition nor search operation. It gets the initial angles by employing the direct DFT method, and obtains the offset compensation for refined estimates by utilizing the Taylor Expansion method and total least squares (TLS) criterion. The proposed method has lower complexity and better estimation performance than the traditional 2-D DFT cascading search (DFT-S) method. Simulation results verify the effectiveness and advantages of the IUPA structure and DFT-TE method.

本文讨论了利用交错均匀平面阵列（IUPA）运动的二维（2-D）到达方向（DOA）估计，并提出了一种离散傅里叶变换级联泰勒展开（DFT-TE）算法。具体而言，提出的IUPA结构比传统的均匀平面阵列（UPA）具有更大的元素间距，并且可以有效地减轻相互耦合。同时，提出的IUPA结构适用于阵列运动。与合成UPA和合成稀疏均匀平面阵列（SUPA）相比，通过IUPA运动生成的合成IUPA可以提供更多可用的阵列传感器和更好的DOA估计性能。此外，考虑到二维DOA估计的高计算复杂性，我们提出了DFT-TE方法。DFT-TE方法既不需要特征值分解也不需要搜索操作。它采用直接DFT方法获得初始角度，并利用泰勒展开方法和总最小二乘（TLS）准则获得精确估计的偏移补偿。与传统的二维DFT级联搜索（DFT-S）方法相比，该方法具有较低的复杂度和更好的估计性能。仿真结果验证了IUPA结构和DFT-TE方法的有效性和优势。与传统的二维DFT级联搜索（DFT-S）方法相比，该方法具有较低的复杂度和更好的估计性能。仿真结果验证了IUPA结构和DFT-TE方法的有效性和优势。与传统的二维DFT级联搜索（DFT-S）方法相比，该方法具有较低的复杂度和更好的估计性能。仿真结果验证了IUPA结构和DFT-TE方法的有效性和优势。