基于稀疏成份分析的幾何繞射模型參數估計

杜小勇; 胡衛(wèi)東; 郁文賢

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基于稀疏成份分析的幾何繞射模型參數估計

杜小勇, 胡衛(wèi)東, 郁文賢

文章導航 > 電子與信息學報 > 2006 > 28(2): 362-366

杜小勇, 胡衛(wèi)東, 郁文賢. 基于稀疏成份分析的幾何繞射模型參數估計[J]. 電子與信息學報, 2006, 28(2): 362-366.

引用本文:

杜小勇, 胡衛(wèi)東, 郁文賢. 基于稀疏成份分析的幾何繞射模型參數估計[J]. 電子與信息學報, 2006, 28(2): 362-366.

Du Xiao-yong, Hu Wei-dong, Yu Wen-xian. Parameter Estimation of GTD Model Based on Sparse Component Analysis[J]. Journal of Electronics & Information Technology, 2006, 28(2): 362-366.

Citation:

Du Xiao-yong, Hu Wei-dong, Yu Wen-xian. Parameter Estimation of GTD Model Based on Sparse Component Analysis[J]. Journal of Electronics & Information Technology, 2006, 28(2): 362-366.

杜小勇, 胡衛(wèi)東, 郁文賢. 基于稀疏成份分析的幾何繞射模型參數估計[J]. 電子與信息學報, 2006, 28(2): 362-366.

引用本文:

杜小勇, 胡衛(wèi)東, 郁文賢. 基于稀疏成份分析的幾何繞射模型參數估計[J]. 電子與信息學報, 2006, 28(2): 362-366.

Du Xiao-yong, Hu Wei-dong, Yu Wen-xian. Parameter Estimation of GTD Model Based on Sparse Component Analysis[J]. Journal of Electronics & Information Technology, 2006, 28(2): 362-366.

Citation:

Du Xiao-yong, Hu Wei-dong, Yu Wen-xian. Parameter Estimation of GTD Model Based on Sparse Component Analysis[J]. Journal of Electronics & Information Technology, 2006, 28(2): 362-366.

基于稀疏成份分析的幾何繞射模型參數估計

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出版歷程
- 收稿日期: 2004-08-03
- 修回日期: 2005-01-17
- 刊出日期: 2006-02-19

Parameter Estimation of GTD Model Based on Sparse Component Analysis

摘要

摘要: 雷達目標散射中心的參數估計對目標特性分析和目標識別有重要意義。該文以幾何繞射模型為基礎，綜合利用多頻段的頻域測量數據，給出了散射中心位置、幅度和散射類型參數的融合估計方法。數值仿真結果表明，該方法能有效地挖掘模型信息，具有超分辨能力，給超寬帶雷達信號處理提供了新的途徑。
- 幾何繞射模型; 稀疏成份分析; 信號綜合; 參數估計
Abstract: Parameter estimation of radar target scatterer plays an important role in the process of target characteristics analysis and target recognition. Based on the GTD(Geometrical Theory of Diffraction) parametric model, this paper presents a novel method which can synthetically apply the multi-band measurements in frequency domain and effectively estimate the parameters of scatterers, including location, amplitude and scattering type. The numeric results indicate that the method can effectively mine the information hidden in the model and hold the ability of supper-resolution, which provides a new way to ultra-wide-band signal processing of radar.

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參考文獻(1)

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