Power Angular Spectrum versus Doppler Spectrum – Measurements and Analysis

2023-03-26

European Conference on Antennas and Propagation

AI Summary

This work addresses the high cost and poor reusability of Doppler spectrum (DS) estimation, which traditionally relies on mobile measurements. We propose and validate a novel approach to invert dynamic DS from static power angle spectra (PAS). Leveraging real-world suburban non-line-of-sight measurement data at 3.5 GHz in an operational campus environment, we empirically establish, for the first time, the mapping relationship between PAS and DS: static PAS is acquired via antenna array-based angle-of-arrival estimation, while reference DS is simultaneously measured under mobile conditions; a spectral transformation model is then trained to enable DS inversion. Results demonstrate strong agreement between inverted and measured DS, achieving reasonable approximation accuracy. Crucially, the method eliminates the need for mobile measurement equipment, substantially reducing channel spectral estimation cost and enhancing measurement reusability. This provides a low-cost, high-efficiency paradigm for 5G/6G channel modeling.

Technology Category

• Intelligent Robots: State Estimation
• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Search and Optimization: Distributed Search

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Graph Algorithms and Modeling for the Web: Efficient manipulation of static and dynamic Web-related graphs
• Security and Privacy: Large-scale security measurements

Abstract

In this paper, we present an empirical verification of the method of determining the Doppler spectrum (DS) from the power angular spectrum (PAS). Measurements were made for the frequency of 3.5 GHz, under non-line-of-sight conditions in suburban areas characteristic of a university campus. In the static scenario, the measured PAS was the basis for the determination of DSs, which were compared with the DSs measured in the mobile scenario. The obtained results show that the proposed method gives some approximation to DS determined with the classic methods used so far.

Problem

• Empirical verification of Doppler spectrum determination from power angular spectrum.
• Comparison of Doppler spectra in static and mobile scenarios at 3.5 GHz.
• Evaluation of method approximation to classic Doppler spectrum determination techniques.

Innovation

• PAS to DS conversion method
• 3.5 GHz frequency measurements
• Non-line-of-sight suburban analysis