Estimation of Scalar Field Distribution in the Fourier Domain

Autor:	Leong, Alex S., Skvortsov, Alexei T.
Rok vydání:	2023
Předmět:	Electrical Engineering and Systems Science - Signal Processing
Druh dokumentu:	Working Paper
Popis:	In this paper we consider the problem of estimation of scalar field distribution (e.g. pollutant, moisture, temperature) from noisy measurements collected by unmanned autonomous vehicles such as UAVs. The field is modelled as a sum of Fourier components/modes, where the number of modes retained and estimated determines in a natural way the approximation quality. An algorithm for estimating the modes using an online optimization approach is presented, under the assumption that the noisy measurements are quantized. The algorithm can also estimate time-varying fields through the introduction of a forgetting factor. Simulation studies demonstrate the effectiveness of the proposed approach. Comment: Add Section V-C
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2303.15700 Zobrazit plný text záznamu View this record from Arxiv