| 基于辅助阵元的方位依赖幅相误差最大似然自校正：针对确定信号模型 |
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| 引用本文： | 王鼎,潘苗,吴瑛. 基于辅助阵元的方位依赖幅相误差最大似然自校正：针对确定信号模型[J]. 通信学报, 2011, 32(2): 34-41 |
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| 作者姓名： | 王鼎 潘苗 吴瑛 |
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| 作者单位： | 1. 解放军信息工程大学信息工程学院,河南郑州,450002
2. 江南计算技术研究所,江苏无锡,214083 |
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| 摘 要： | 针对确定信号模型条件下方位依赖幅相误差的自校正问题,给出了一种基于辅助阵元的方位依赖幅相误差最大似然自校正方法;针对最大似然估计器中出现的高维非线性优化问题,推导了一种改进型交替投影迭代算法,从而实现了信号方位和方位依赖幅相误差的优化计算.此外,还推导了信号方位和方位依赖幅相误差的无偏克拉美罗界(CRB).仿真实验结果验证了新方法的有效性和优越性.
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| 关 键 词： | 最大似然方法 自校正 幅相误差 辅助阵元 方位依赖 克拉美罗界 |
Maximum likelihood self-calibration for direction-dependent gain-phase errors with carry-on instrumental sensors:case of deterministic signal model |
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| WANG Ding,PAN Miao,WU Ying. Maximum likelihood self-calibration for direction-dependent gain-phase errors with carry-on instrumental sensors:case of deterministic signal model[J]. Journal on Communications, 2011, 32(2): 34-41 |
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| Authors: | WANG Ding PAN Miao WU Ying |
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| Affiliation: | WANG Ding1,PAN Miao2,WU Ying1(1.Institute of Information Engineering,PLA Information Engineering University,Zhengzhou 450002,China,2.Jiangnan Institute of Computing Technonlogy,Wuxi 214083,China) |
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| Abstract: | Aim at the self-calibration of direction-dependent gain-phase errors in case of deterministic signal model,the maximum likelihood method(MLM) for calibrating the direction-dependent gain-phase errors with carry-on instrumental sensors was presented.In order to maximize the high-dimensional nonlinear cost function appearing in the MLM,an improved alternative projection iteration algorithm,which could optimize the azimuths and direction-dependent gain-phase errors was proposed.The closed-form expressions of t... |
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