信息工程大学学报2024，Vol.25Issue(1)：39-44,6.DOI:10.3969/j.issn.1671-0673.2024.01.006
基于DMA阵列划分的低复杂度近场估计方法
Low Complexity Near-Field Estimation Method Based on DMA Array Partitioning
摘要
Abstract
To address the increasing computational complexity caused by angle and distance coupling under near-field effects due to the introduction of dynamic metasurface antenna(DMA),a low-com-plexity near-field estimation method based on DMA array partitioning is proposed.First,the near-field received signal model under the DMA array structure is established.Then,the DMA array is divided to construct the array receiving signal structure suitable for the GESPRIT algorithm,and the angle and distance parameters are decoupled to realize the low complexity processing method.Final-ly,the phase shift matrix of DMA is adjusted to improve the near-field estimation accuracy of DMA array by maximizing the signal-to-noise ratio.The simulation results show that the complexity of this method is significantly lower than that of 2D-MUSIC algorithm,and the estimation accuracy perform-ance is improved by 30%when the SNR is 0 dB.关键词
动态超表面天线/近场/低复杂度Key words
dynamic metasurface antennas/near-field/low complexity分类
信息技术与安全科学引用本文复制引用
王雪纯,黄开枝,许晓明..基于DMA阵列划分的低复杂度近场估计方法[J].信息工程大学学报,2024,25(1):39-44,6.基金项目
嵩山实验室资助项目(221100211300-01) （221100211300-01）
国家重点研发计划资助项目(2022YFB2902202) （2022YFB2902202）
