Author Identifier

Prof Zahir M. Hussain

ORCID : 0000-0002-1707-5485

Document Type

Journal Article

Publication Title

Electronics

Volume

10

Issue

15

Publisher

MDPI

School

School of Engineering

RAS ID

36665

Funders

Edith Cowan University

Comments

Alwan, N. A. S., & Hussain, Z. M. (2021). Frequency estimation from compressed measurements of a sinusoid in moving‐average colored noise. Electronics, 10(15), article 1852. https://doi.org/10.3390/electronics10151852

Abstract

Frequency estimation of a single sinusoid in colored noise has received a considerable amount of attention in the research community. Taking into account the recent emergence and advances in compressive covariance sensing (CCS), the aim of this work is to combine the two disci-plines by studying the effects of compressed measurements of a single sinusoid in moving‐average colored noise on its frequency estimation accuracy. CCS techniques can recover the second‐order statistics of the original uncompressed signal from the compressed measurements, thereby enabling correlation‐based frequency estimation of single tones in colored noise using higher order lags. Ac-ceptable accuracy is achieved for moderate compression ratios and for a sufficiently large number of available compressed signal samples. It is expected that the proposed method would be advan-tageous in applications involving resource‐limited systems such as wireless sensor networks.

DOI

10.3390/electronics10151852

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Research Themes

Securing Digital Futures

Priority Areas

Artificial intelligence and autonomous systems

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