| 摘要: |
| 传感器阵列中单元失效给参数估计带来重大挑战，同时复杂环境中坏数据的出现也直接导致算法性能大幅下降。为解决上述问题，在矢量共形阵列单元失效的情况下，提出了一种离网格鲁棒极化-DOA估计算法。首先，建立基于二维稀疏表示的包含坏数据的张量接收信号模型。然后，提出了一种列向量检测方法来诊断失效阵元的位置信息。为消除坏数据对参数估计性能的影响，采用低秩矩阵补全方法恢复随机丢失的信源信息。最后，引入了离网格优化思想，并利用张量变分稀疏贝叶斯学习算法和最小特征向量算法分别获得DOA和极化参数估计结果。仿真结果证明，当坏数据存在时，所提算法具有较强的鲁棒性；同时，在低信噪比和小快拍下参数估计性能和分辨率相较于对比算法分别提升48.17%和51.01%。 |
| 关键词: 矢量共形阵列 极化-DOA估计 单元失效 坏数据 |
| DOI：10.20079/j.issn.1001-893x.250519001 |
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| 基金项目:国家自然科学基金青年科学基金（61801308）；辽宁省兴辽英才计划项目（XLYC1907195） |
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| Robust Polarization-DOA Estimation under Vector Conformal Array Element Failure |
| JIANG Lai,WANG Siming,LAN Xiaoyu,DUAN Xianggang,HUANG Yanqian |
| (1.State-owned Changhong Machine Factory，Guilin 541003，China;2.School of Electronic Information Engineering，Shenyang Aerospace University，Shenyang 110136，China) |
| Abstract: |
| Element failure in sensor arrays poses a significant challenge to parameter estimation，and the presence of bad data in complex environments directly leads to a significant degradation of algorithm performance.To solve above problems，an off-grid robust polarization-DOA estimation algorithm is proposed in the case of vector conformal array element failure.Firstly，a tensor received signal model containing bad data based on a two-dimensional sparse representation is established.Then，a column vector detection method is proposed to diagnose the position information of the failed array elements.To eliminate the influence of bad data on the parameter estimation performance，a low-rank matrix complementation method is used to recover the randomly lost source information.Finally，the off-grid optimization idea is introduced，and the tensor variational sparse Bayesian learning algorithm and the minimum eigenvector method are used to obtain the DOA and polarization parameter estimation results，respectively.Simulations demonstrate that the proposed algorithm is robust when bad data exists，and the parameter estimation performance and resolution are improved by 48.17% and 51.01% at low signal-to-noise ratios and small snapshots compared with those of the comparison algorithms，respectively. |
| Key words: vector conformal array polarization-DOA estimation element failure bad data |
《电讯技术》编辑部 