论文标题
在FPGA平台上实现数字QS-SVM的射流器
Implementation of the Digital QS-SVM-based Beamformer on an FPGA Platform
论文作者
论文摘要
为了应对建立和维持可靠的无线连接性（例如多路径效应，低潜伏期，尺寸降低和高数据速率）的实用挑战，数字波束形式是由混合天线阵列以10 GHz的运行频率执行的。所提出的数字波束形式作为空间滤波器，能够执行到达方向（DOA）估计和光束形成。 DOA估计的支持向量机（SVM）最有公认的机器学习技术仅限于线性可分离的数据集的问题。 为了克服上述约束，在拟议的波束形式中，除了LCMV和MVDR的两种光束成型技术外，还将带有小规则的QS-SVM分类器用于DOA估计。基于QS-SVM的光束形式已部署在FPGA板上，如本工作中所详细说明。该实现结果已验证了基于QS-SVM的光束器在抑制不希望的信号，不需要信号中的幂小于-10 dB的深空以及传输所需信号的强度。此外，我们已经证明了基于QS-SVM的光束形成器的性能包括其他平均潜伏期时间的优势，按毫秒顺序，绩效效率超过90 \％，吞吐量约为100 \％。
To address practical challenges in establishing and maintaining robust wireless connectivity such as multi-path effects, low latency, size reduction, and high data rate, the digital beamformer is performed by the hybrid antenna array at the frequency of operation of 10 GHz. The proposed digital beamformer, as a spatial filter, is capable of performing Direction of Arrival (DOA) estimation and beamforming. The most well-established machine learning technique of support vector machine (SVM) for the DoA estimation is limited to problems with linearly-separable datasets. To overcome the aforementioned constraint, in the proposed beamformer, the QS-SVM classifier with a small regularizer has been used for the DoA estimation in addition to the two beamforming techniques of LCMV and MVDR. The QS-SVM-based beamformer has been deployed in an FPGA board, as demonstrated in detail in this work. The implementation results have verified the strong performance of the QS-SVM-based beamformer in suppressing undesired signals, deep nulls with powers less than -10 dB in undesired signals, and transferring desired signals. Furthermore, we have demonstrated that the performance of the QS-SVM-based beamformer consists of other advantages of average latency time in the order of milliseconds, performance efficiency of more than 90\%, and throughput of about 100\%.
