A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by sounders at millimeter-wave (mmW) frequencies. To focus on algorithmic performance, an idealized model is proposed for the spatial frequency response of the propagation environment measured by a sounder. The input to the sounder model is a pre-determined set of MPC parameters that serve as the "ground truth." A three-dimensional angle-delay (beamspace) representation of the measured spatial frequency response serves as a natural domain for implementing and analyzing MPC extraction algorithms. Metrics for quantifying the error in estimated MPC parameters are introduced. Initial results are presented for a greedy matching pursuit algorithm that performs a least-squares (LS) reconstruction of the MPC path gains within the iterations. The results indicate that the simple greedy-LS algorithm has the ability to extract MPCs over a large dynamic range, and suggest several avenues for further performance improvement through extensions of the greedy-LS algorithm as well as by incorporating features of other algorithms, such as SAGE and RIMAX.

中文翻译：

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开发用于从测量中估计传播参数的算法的框架

提出了一种框架，用于开发和评估用于从探测仪在毫米波 (mmW) 频率收集的测量结果中提取多径传播分量 (MPC) 的算法。为了关注算法性能，提出了一种理想化模型，用于由测深仪测量的传播环境的空间频率响应。Sounder 模型的输入是一组预先确定的 MPC 参数，用作“基本事实”。测量的空间频率响应的三维角度延迟（波束空间）表示用作实现和分析 MPC 提取算法的自然域。介绍了量化估计 MPC 参数中的误差的指标。给出了贪婪匹配追踪算法的初始结果，该算法在迭代中执行 MPC 路径增益的最小二乘 (LS) 重建。结果表明，简单的 greedy-LS 算法具有在大动态范围内提取 MPC 的能力，并提出了通过扩展 greedy-LS 算法以及结合其他算法的特征来进一步提高性能的几种途径，例如SAGE 和 RIMAX。