基于稀疏阵列的近场通信与感知方法

Sparse Array Enabled Communications and Sensing for Extremely Large——Scale Array

超大规模阵列的应用可以显著增加传输距离和提高频谱效率,克服路径损耗,从而为通信领域带来新的发展机遇。在超大规模阵列中用户往往处于辐射近场区域,因此通信系统需要采用更为精准的球面波模型。然而,超大规模阵列面临硬件成本和能耗高以及信号处理算法复杂等问题。为解决该问题,提出利用稀疏阵列构造超大规模阵列,赋能近场通感一体化。分别对稀疏阵列在远场和近场通信与感知中的关键问题进行了深入分析,阐述了现有稀疏阵列应用的挑战,并提出未来稀疏阵列的研究方向。

The application of extremely large-scale array can significantly increase transmission distance and enhance spectral efficiency,over-coming path loss and thus bringing new development opportunities to communications.With users potentially located in the near-field region of the base station equipped with an extremely large-scale array,a more accurate spherical wave model needs to be adopted.However,ex-tremely large-scale array faces challenges such as high hardware costs,energy consumption,and complex signal processing algorithms.To ad-dress this issue,the sparse array is used to construct extremely large-scale array,enabling integrated sensing and communication.An in-depth analysis of the key issues of sparse arrays in both far-field and near-field communication and sensing is conducted.The challenges of existing sparse array applications are discussed,and then future research directions for sparse arrays are presented.