Volume 5, Issue 3, May 2017, Page: 24-28
Performance Comparison on Three Time Delay Estimation Algorithms Using Experiments
Junhao Li, School of Electronic and Information, Shanghai Dianji University, Shanghai, China
Wenhong Liu, School of Electrical Engineering, Shanghai Dianji University, Shanghai, China
Received: Aug. 7, 2017;       Published: Aug. 7, 2017
DOI: 10.11648/j.com.20170503.12      View  1559      Downloads  83
Time delay estimation (TDE) is applied in many areas. Its estimation performance plays an important role in many actual systems, such as malfunction sound location. In this paper, estimation performances of three TDE algorithms, correlation, covariance, and fractional lower order covariance, are compared. Traditional, additive noises in the actual collected signals are described by Gaussian distribution. However, they have often impulsiveness in practice, and are modeled as α-stable distribution. First, correlation, covariance, and fractional lower order covariance method are analyzed in theory. Then, computer simulation experiments are carried out. Computer sound card records pure audio signals, different pulse intensity noises added to simulate actual environments. Next, results of three algorithms for time delay estimation were obtained in different signal to noise ratio (SNR) conditions. Under the same conditions, estimated RMS (root-mean-square) errors of three algorithms are analyzed and compared. Experimental results show that under low SNR and strong impulsive noise environments, fractional lower order covariance method indicates best estimation performance.
Time Delay Estimation, α-Stable Distribution, Impulsive Noise, Fractional Lower Order Covariance
To cite this article
Junhao Li, Wenhong Liu, Performance Comparison on Three Time Delay Estimation Algorithms Using Experiments, Communications. Vol. 5, No. 3, 2017, pp. 24-28. doi: 10.11648/j.com.20170503.12
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