单次空时域并行欠采样下的频率和到达角联合估计

发布时间：2019-03-31 00:03

【摘要】：随着应用频段的不断升高,空时域欠采样下的入射信号的频率和到达角的联合估计变得愈加困难.为解决此难题,本文提出了一种基于互素稀疏阵列的联合估计器.首先,结合互素稀疏阵列和闭式中国余数定理,建立了频率估计和到达角估计的理论模型;其次,将频谱校正理论和中国余数定理结合起来,导出了频率估计算法;再次,将相位差校正和中国余数定理结合起来,导出了到达角估计算法.该估计器不仅可降低现有估计器的硬件成本,而且仅需对单次并行采样的快拍做并行处理即可获得联合估计结果,无需对单阵元做多次采样,数据处理效率较高.仿真实验表明,该估计器具有较高的鲁棒性估计精度,因而在雷达、遥感等被动感知领域具有较广阔的应用前景.
[Abstract]:With the increasing of the applied frequency band, the joint estimation of the frequency and arrival angle of the incident signal in the space-time domain becomes more and more difficult. In order to solve this problem, a joint estimator based on mutual prime sparse array is proposed in this paper. Firstly, the theoretical models of the frequency estimation and the angle of arrival estimation are established by combining the mutual prime sparse array and the closed Chinese remainder theorem, secondly, the frequency estimation algorithm is derived by combining the spectrum correction theory with the Chinese remainder theorem. Thirdly, the angle of arrival estimation algorithm is derived by combining phase difference correction with Chinese remainder theorem. The proposed estimator can not only reduce the hardware cost of the existing estimator, but also can obtain the joint estimation result only by parallel processing of the single parallel sampling snapshot, and the data processing efficiency is high because the single array element is not required to be sampled multiple times. The simulation results show that the proposed estimator has high robust estimation accuracy, so it has a wide application prospect in the field of passive sensing such as radar and remote sensing.
【作者单位】：天津大学电气自动化与信息工程学院;天津大学精密仪器与光电子学院;
【基金】：国家自然科学基金(批准号:61671012,61475114) 国家重大科学仪器设备开发专项(批准号:2013YQ030915)资助的课题~~
【分类号】：TN957.51

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