Cramr-Rao Bound for Near-field Source Localization

BAO Tao; ZHOU Deyun; LI Lixin; HU Chufeng

doi:10.11999/JEIT150578

Volume 38 Issue 3

Mar. 2016

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Article Navigation > Journal of Electronics & Information Technology > 2016 > 38(3): 758-762

BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578

Citation:

BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578

BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578

Citation:

BAO Tao, ZHOU Deyun, LI Lixin, HU Chufeng. Cramr-Rao Bound for Near-field Source Localization[J]. Journal of Electronics & Information Technology, 2016, 38(3): 758-762. doi: 10.11999/JEIT150578

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Cramr-Rao Bound for Near-field Source Localization

doi: 10.11999/JEIT150578

1.
(School of Electronics and Information, Northwestern Polytechnical University, Xi&rsquo
2.
(National Key Laboratory of Science and Technology on UAV, Northwestern Polytechnical University, Xi&rsquo

Funds:

The National Natural Science Foundation of China (61201320), The Fundamental Research Funds for the Central Universities (3102014JCQ01052), China Postdoctoral Science Foundation (2014M552489), Shanghai Aerospace Science and Technology Innovation Fund (SAST201455)

Received Date: 2015-05-15
Rev Recd Date: 2015-11-20
Publish Date: 2016-03-19

Abstract

Abstract

In view of the existing CRB (Cramr-Rao Bound) for near-field single source is based on the uniform linear array, and analyzes less fully the CRB's characteristics and the influence factors of specific. In this paper, non-matrix, closed-form expression of the deterministic CRB for the near-field narrow band model is deduced based on Fisher information matrix, Schur complement and Jacobi transform with non-uniform linear array. The behavior of the performance with respect to some features of interest are discussed, namely, the array geometry, the array aperture, the thinned factor, the target signal frequency and the signal to noise ratio. Through the reasonable array design scheme, the direction and range of the target are both estimated. The Monte-Carlo simulation results validate the effectiveness of the theoretical analysis and the conclusion.
- Signal processing,
- Cramr-Rao bound,
- Direction and range estimation,
- Near field,
- Source localization,
- Non-uniform linear array,
- Thinned factor

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References(14)

References

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