In recent years, direction of arrival estimation utilizing non-circular signals has become a focal point for scholarly research. To enhance the degrees of freedom (DOF) in receiver arrays specifically for non-circular signal DOA estimation, this study introduces a novel array configuration. This design leverages an extended coprime framework, applying a sliding translation technique to optimize sensor placement. Crucially, this rearranged structure preserves the continuity of the difference co-array (DCA). Furthermore, the sum co-array (SCA) is shifted to merge seamlessly with the DCA, eliminating redundancy and substantially expanding both the virtual aperture array (VAA) and the DOF. Consequently, the proposed array demonstrates superior performance in practical DOA estimation tasks involving non-circular signals. Simulation results and comparative analyses confirm that, relative to traditional Nested Arrays (NA), Extended Sliding Nested Array (ESNA), and other benchmark structures, the proposed array achieves better DOF and VAA, leading to enhanced estimation accuracy in practical scenarios.

翻译：近年来，利用非圆信号进行波达方向估计已成为学界研究热点。为提升专用于非圆信号DOA估计的接收阵列自由度，本文提出一种新型阵列构型。该设计基于扩展互质框架，采用滑动平移技术优化传感器布设。关键之处在于，这种重组结构能保持差分共阵的连续性。此外，通过平移求和共阵使其与差分共阵无缝融合，消除了冗余并显著扩展了虚拟孔径阵列与自由度。因此，所提阵列在实际的非圆信号DOA估计任务中展现出优越性能。仿真结果与对比分析证实，相对于传统嵌套阵列、扩展滑动嵌套阵列及其他基准结构，该阵列能获得更优的自由度与虚拟孔径阵列，进而在实际场景中实现更高的估计精度。