Abstract
An important signal parameter estimation problem is time delay estimation. The problem of time delay estimation in interference environments is investigated in this paper, with the application of Blind Source Separation (BSS). This novel method can reduce the complexity of estimation and improve the performance of time delay estimation. The important contribution of this new estimation method is that it can reduce the affection of interference to time delay estimation. Simulation result confirms the validity and practicality of the proposed approach, the results of time delay estimation in interference environments are more accurate and stable based on this new method.
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Huang, G., Yang, L., He, Z. (2005). Application of Blind Source Separation to Time Delay Estimation in Interference Environments. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_81
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DOI: https://doi.org/10.1007/11427445_81
Publisher Name: Springer, Berlin, Heidelberg
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