A Framework for Developing and Evaluating Algorithms for Estimating Multipath Propagation Parameters From Channel Sounder Measurements

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 omni-directional transmitter and a receiver with a uniform planar array (U...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on wireless communications Ročník 23; číslo 5; s. 4424 - 4441
Hlavní autoři: Sayeed, Akbar M., Guven, Damla, Doebereiner, Michael, Semper, Sebastian, Gentile, Camillo, Bodi, Anuraag, Cheng, Zihang
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Algorithms
Antenna arrays
Antenna measurements
antenna radiation patterns
beamspace processing
CLEAN algorithm
Data models
Estimation
Frequency measurement
Frequency response
high-resolution algorithms
Matched pursuit
Mathematical models
maximum likelihood (ML) estimation
Maximum likelihood estimation
Millimeter waves
millimeter-wave (mmWave) measurements
multidimensional signal processing
multipath propagation channel models
NIST
parameter estimation
Parameters
Performance evaluation
RiMAX algorithm
space-alternative generalized expectation-maximization (SAGE) algorithm
Wireless communication
ISSN:1536-1276, 1558-2248
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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 omni-directional 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 single-snapshot maximum likelihood estimation problem: greedy matching pursuit (CLEAN), space-alternative generalized expectation-maximization (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.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1536-1276
1558-2248
DOI:10.1109/TWC.2023.3318532