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首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >A Novel Beamforming Algorithm for GNSS Receivers with Dual-Polarized Sensitive Arrays in the Joint Space–Time-Polarization Domain
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A Novel Beamforming Algorithm for GNSS Receivers with Dual-Polarized Sensitive Arrays in the Joint Space–Time-Polarization Domain

机译：联合时空极化域中具有双极化敏感阵列的GNSS接收机的新型波束成形算法

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Dual-polarized sensitive arrays (DPSAs) with the space–time-polarization adaptive processing (STPAP) technique, which employs the polarization domain as well as the space domain and time domain to filter out interferences, can cancel a larger number of wideband interferences for GNSS receivers. However, the traditional STPAP beamforming algorithm, which requires a separate adaptive filter for each GNSS satellite, will make the process computationally intensive as there are multiple GNSS satellites in the field of view (FOV). In order to overcome the shortcoming, a novel STPAP beamforming algorithm based on the minimum variance distortionless response (MVDR) criterion is proposed. Compared with the traditional STPAP beamforming algorithm, the proposed STPAP beamforming algorithm can process multiple GNSS satellites at once using only one adaptive filter, which will greatly reduce the computational complexity. Moreover, the proposed algorithm will not lead to a sharp deterioration in the output carrier-to-noise density ratio (C/N0) performance if the number of GNSS satellites processed in the same adaptive filter is proper. Furthermore, to calculate weight vector iteratively, an adaptive algorithm based on the constrained least mean square (CLMS) method is derived for the proposed STPAP beamforming algorithm. Simulation results validate that the proposed algorithm is effective in mitigating interferences for GNSS receivers in the joint space–time-polarization domain and meanwhile has lower computational complexity when maintaining the output C/N0 performance close to that of the traditional STPAP algorithm.
机译：采用时空极化自适应处理（STPAP）技术的双极化敏感阵列（DPSA），利用极化域以及空间域和时域来滤除干扰，可以消除大量宽带干扰，从而GNSS接收器。但是，传统的STPAP波束成形算法需要为每个GNSS卫星配备一个单独的自适应滤波器，这会增加过程的计算强度，因为在视场（FOV）中有多个GNSS卫星。为了克服该缺点，提出了一种基于最小方差无失真响应（MVDR）准则的新型STPAP波束成形算法。与传统的STPAP波束成形算法相比，该STPAP波束成形算法仅使用一个自适应滤波器就可以一次处理多颗GNSS卫星，大大降低了计算复杂度。此外，如果在同一自适应滤波器中处理的GNSS卫星的数量合适，则所提出的算法将不会导致输出载波噪声密度比（C / N0）性能的急剧下降。此外，为了迭代计算权重向量，针对所提出的STPAP波束成形算法，导出了基于约束最小均方（CLMS）方法的自适应算法。仿真结果验证了该算法在联合时空极化域中对GNSS接收机的干扰是有效的，同时保持输出C / N0性能接近传统STPAP算法时，具有较低的计算复杂度。

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