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. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Huang, G., Yang, L., & He, Z. (2005). Application of blind source separation to time delay estimation in interference environments. In Lecture Notes in Computer Science (Vol. 3497, pp. 496–501). Springer Verlag. https://doi.org/10.1007/11427445_81
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