基于辅助阵元的非圆信号自校正算法及其性能分析

发布时间：2018-05-12 08:13

本文选题：方位依赖幅相误差 + 辅助阵元自校正　；参考：《通信学报》2014年02期

【摘要】：针对非圆信号空间谱测向中方位依赖幅相误差的校正问题,基于辅助阵元自校正算法(ISM,instrumental sensor method)基本原理,提出一种改进的ISM算法:NC-ISM算法。该算法通过利用最大非圆率信号的扩展数据模型,提高了信号利用率,使其估计精度较一般的ISM算法有明显提升,最大可分辨信源数也增加一倍。对该算法的理论性能进行研究,证明了其参数估计的统计一致性,并采用一阶误差分析方法推导了辅助阵元模型误差影响下参数估计的均方误差表达式,从而为工程应用提供理论支撑。仿真结果验证了理论推导的正确性,同时表明,该算法较ISM算法在辅助阵元模型误差与低信噪比下都有更强的顽健性。
[Abstract]:In order to correct the azimuth dependent amplitude-phase error in non-circular signal spatial spectral direction finding, an improved ISM algorithm: NC-ISM algorithm is proposed based on the principle of auxiliary array element self-tuning algorithm (ISM) sensor method. By using the extended data model of the maximum non-circular rate signal, the algorithm improves the signal utilization ratio, and makes the estimation accuracy obviously higher than that of the conventional ISM algorithm, and the maximum discernible source number is doubled. The theoretical performance of the algorithm is studied, and the statistical consistency of the parameter estimation is proved. The mean square error expression of the parameter estimation under the influence of the error of the auxiliary array element model is derived by using the first-order error analysis method. Thus provides the theory support for the engineering application. The simulation results verify the correctness of the theoretical derivation and show that the proposed algorithm is more robust than the ISM algorithm in the case of auxiliary element model error and low SNR.
【作者单位】：解放军信息工程大学信息系统工程学院;
【基金】：国家自然科学基金资助项目(61201381) 信息工程学院未来发展基金资助项目(YP12JJ202057)~~
【分类号】：TN911.7

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