An effective blind multichannel identification algorithm is proposed in this paper. Different from the Prediction Error Method, the new algorithm does not require the input signal to be independent and identical distribution, and even the input signal can be non-stationary. Compared with Least-Square Approach, the new algorithm is more robust to the overestimation of channel order. Finally, the experiments demonstrate the good performance of the proposed algorithm.
CITATION STYLE
Shi, M., & Yi, Q. (2006). An Efficient Blind SIMO Channel Identification Algorithm Via Eigenvalue Decomposition. In Lecture Notes in Control and Information Sciences (Vol. 344, pp. 41–47). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-540-37256-1_6
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