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Decoupled Parameter Estimation for Coherently Distributed Source

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Book cover Foundations and Practical Applications of Cognitive Systems and Information Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 215))

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Abstract

A computationally efficient method for the problem of estimating the parameters—the central direction of arrival (DOA) and angular spread of coherently distributed source is presented. The proposed method is based on Schur–Hadamard product which enables the estimation of the central DOA decoupled from that of angular spread of the source. So an underlying rotational invariance structure is exploited. Then the key idea is to apply the propagator method to estimate the central DOA, which only requires linear operations. The angular spread is estimated by a proposed second-order statistics sequently, from which the closed solution of angular spread is derived. An advantage of this method over the classical subspace-based algorithm, such as ESPRIT and MUSIC for distributed source, is that it does not apply any searching. Numerical examples illustrate the performance of the method.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China under Grant No. 60904035, 61004052, and 61104005, by Natural Science Foundation of Liaoning Province and Hebei Province under Grant No.20102064 and F2011501052, by The Central University Fundamental Research Foundation, under Grant. N110423004 and by Research Fund for the Doctoral Program of Higher Education of China under Grant No. 20110042120015.

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Correspondence to Yinghua Han .

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Han, Y., Wang, J., Zhao, Q. (2014). Decoupled Parameter Estimation for Coherently Distributed Source. In: Sun, F., Hu, D., Liu, H. (eds) Foundations and Practical Applications of Cognitive Systems and Information Processing. Advances in Intelligent Systems and Computing, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37835-5_47

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  • DOI: https://doi.org/10.1007/978-3-642-37835-5_47

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  • Print ISBN: 978-3-642-37834-8

  • Online ISBN: 978-3-642-37835-5

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