Parameter Estimation and Performance Analysis of Coherent Polarization Attributed Scattering Center Model

XU Shaokun; WEI Xizhang; LI Xiang; GUO Guirong

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Article Navigation > Chinese Journal of Electronics > 2013 > 22(1): 195-201

XU Shaokun, WEI Xizhang, LI Xiang, et al., “Parameter Estimation and Performance Analysis of Coherent Polarization Attributed Scattering Center Model,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 195-201, 2013,

Citation:

XU Shaokun, WEI Xizhang, LI Xiang, et al., “Parameter Estimation and Performance Analysis of Coherent Polarization Attributed Scattering Center Model,” Chinese Journal of Electronics, vol. 22, no. 1, pp. 195-201, 2013,

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Parameter Estimation and Performance Analysis of Coherent Polarization Attributed Scattering Center Model

1.
School of Electronic Science and Engineering, National University of Defense Technology, Changsha 410073, China;
2.
Unit 63880 of PLA, Luoyang 471003, China

Funds: This work is supported by the National Science Fund for Distinguished Young Scholars of China (No.61025006); the National Natural Science Foundation of China (No.61271442).

Received Date: 2011-11-01
Rev Recd Date: 2012-05-01
Publish Date: 2013-01-05

Abstract

Abstract

Both scattering center and polarimetric information are of great significance for radar target recognition and classification. Firstly, a Coherent polarization attributed (CPA) scattering center model is established to provide a relatively complete description of the target physical structure. Then, an effective parameter estimation method is proposed, where the full-polarization echoes are used for imaging to enhance the target’s features, thereafter, the parameters of the CPA model are estimated via image segmentation and an Approximatemaximum likelihood (AML) method. Particularly, the Cramer-Rao bounds (CRBs) for parameter estimation of the CPA model are derived. Experiments with the measured data in anechoic chamber validate the performance of the proposed method.
- Coherent polarization attributed (CPA) model,
- Parameter estimation,
- Cramer-Rao bounds (CRBs),
- Performance analysis

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References(11)

References

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