Document Type
Journal Article
Publication Title
Electronics
Volume
10
Issue
15
Publisher
MDPI
School
School of Engineering
RAS ID
36665
Funders
Edith Cowan University
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
This work is licensed under a Creative Commons Attribution 4.0 License.
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