scholarly journals Influence of parameter prior information on effect of colored noise in Bayesian frequency estimation

2018 ◽  
Vol 67 (6) ◽  
pp. 060301
Author(s):  
Yang Di ◽  
Wang Yuan-Mei ◽  
Li Jun-Gang
Keyword(s):  
Prior Information ◽  
Colored Noise ◽  
Frequency Estimation

scholarly journals Frequency Estimation from Compressed Measurements of a Sinusoid in MA Colored Noise

2021 ◽  
Author(s):  
Nuha A. S. Alwan ◽  
Zahir M. Hussain
Keyword(s):  
Colored Noise ◽  
Frequency Estimation ◽  
Moving Average ◽  
Research Community ◽  
Wireless Sensor ◽  
Estimation Accuracy ◽  
Second Order Statistics ◽  
Acceptable Accuracy ◽  
Resource Limited ◽  
Recent Emergence

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 disciplines by studying the effects of compressed measurements of a single sinusoid in moving-average (MA) 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. Acceptable 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 advantageous in applications involving resource-limited systems such as wireless sensor networks.

scholarly journals Frequency Estimation from Compressed Measurements of a Sinusoid in Moving-Average Colored Noise

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1852
Author(s):  
Nuha A. S. Alwan ◽  
Zahir M. Hussain
Keyword(s):  
Colored Noise ◽  
Frequency Estimation ◽  
Moving Average ◽  
Research Community ◽  
Wireless Sensor ◽  
Estimation Accuracy ◽  
Second Order Statistics ◽  
Acceptable Accuracy ◽  
Resource Limited ◽  
Recent Emergence

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 disciplines 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. Acceptable 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 advantageous in applications involving resource-limited systems such as wireless sensor networks.

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