Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation

Cheng Zeng-fei; Zhao Yong-bo; Shui Peng-lang; Xu Bao-qing

doi:10.11999/JEIT150340

Volume 37 Issue 12

Jan. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2015 > 37(12): 2885-2890

Cheng Zeng-fei, Zhao Yong-bo, Shui Peng-lang, Xu Bao-qing. Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340

Citation:

Cheng Zeng-fei, Zhao Yong-bo, Shui Peng-lang, Xu Bao-qing. Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation[J]. Journal of Electronics & Information Technology, 2015, 37(12): 2885-2890. doi: 10.11999/JEIT150340

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Parameter Estimation Method of Incoherently Distributed Source via Sparse Representation

doi: 10.11999/JEIT150340

Funds:

The Fundamental Research Fund for the Central Universities of China (K5051202047)

Received Date: 2015-03-23
Rev Recd Date: 2015-09-06
Publish Date: 2015-12-19

Abstract

Abstract

By analyzing the signal model of the Incoherently Distribute Source (IDS), a sparse representation based parameter estimation method of IDS is presented. Through using the Toeplitz characteristic and the two point approximation model as well as the Jacobi-Anger expansion model of the covariance matrix of the IDS, the angle spread and the central direction angle of the IDS is estimated by adopting two sparse representation problems. Compared with the present method, the proposed method does not need two dimensional searches and has low computational burden. Simulation results show that the proposed method has good parameter estimation performance in the low signal-to-noise ratio and small snapshot number scenario.
- Signal processing,
- Parameter estimation,
- Sparse representation,
- Incoherently Distributed Source (IDS)

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References(21)

References

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