A framework is proposed for developing and evaluating algorithms for extracting multipath propagation components (MPCs) from measurements collected by channel sounders at millimeter-wave frequencies. Sounders equipped with an omnidirectional transmitter and a receiver with a uniform planar array (UPA) are considered. An accurate mathematical model is developed for the spatial frequency response of the sounder that incorporates the non-ideal cross-polar beampatterns for the UPA elements. Due to the limited Field-of-View (FoV) of each element, the model is extended to accommodate multi-FoV measurements in distinct azimuth directions. A beamspace representation of the spatial frequency response is leveraged to develop three progressively complex algorithms aimed at solving the singlesnapshot maximum likelihood estimation problem: greedy matching pursuit (CLEAN), space-alternative generalized expectationmaximization (SAGE), and RiMAX. The first two are based on purely specular MPCs whereas RiMAX also accommodates diffuse MPCs. Two approaches for performance evaluation are proposed, one with knowledge of ground truth parameters, and one based on reconstruction mean-squared error. The three algorithms are compared through a demanding channel model with hundreds of MPCs and through real measurements. The results demonstrate that CLEAN gives quite reasonable estimates which are improved by SAGE and RiMAX. Lessons learned and directions for future research are discussed.
Vehicle-to-Vehicle Millimeter-Wave Channel Characterization at 60 and 80 GHz
Brno University of Technology（布尔诺理工大学）；University of Southern California（南加州大学）；National Institute of Technology, Durgapur（杜尔加布尔国家理工学院）；Institute of Communications Systems, Military University of Technology（军事科技大学通信系统研究所）；Institute of Telecommunications, TU Wien（维也纳工业大学电信研究所）；AIT Austrian Institute of Technology（奥地利技术研究院）
Joint Channel Estimation and Localization in Pinching-Antenna OFDM Systems: The Blessing of Multipath
School of Information Science and Technology, Southwest Jiaotong University（西南交通大学）；School of Engineering and Mathematical Sciences, La Trobe University（乐卓博大学）
