一个用于开发从测量值估计传播参数的算法的框架
A Framework for Developing Algorithms for Estimating Propagation Parameters from Measurements
摘要：
提出了一个框架，用于开发和评估算法提取多径传播分量（MPC）的测量在毫米波（mmW）频率的探测器收集。为了关注算法性能，提出了一个理想化的模型，由测深仪测量的传播环境的空间频率响应。探测器模型的输入是一组预定的MPC参数，用作“地面实况”。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。介绍了用于量化MPC参数估计误差的方法。初步结果提出了一个贪婪的匹配追踪算法，执行最小二乘（LS）重建的MPC路径增益的迭代。结果表明，简单的贪婪LS算法有能力在一个大的动态范围内提取MPC，并建议通过扩展贪婪LS算法，以及通过结合其他算法，如SAGE和RIMAX的功能，进一步提高性能的几种途径。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
