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基于时空矩阵信息的阵列幅相误差校正方法研究

Array Gain and Phase Calibration Mothed Study Based on the Spatio-temporal Matrixes Information

【作者】 王楠

【导师】 廖桂生;

【作者基本信息】 西安电子科技大学 , 信号与信息处理, 2009, 硕士

【摘要】 理想条件下阵列信号处理在多通道系统中具有良好的性能,但实际存在的系统误差,会导致算法估计性能或系统输出性能严重恶化。本文主要研究阵列幅相误差校正技术,在分析前人方法的基础上提出了一种阵列误差校正方法。首先,介绍了阵列信号误差模型和常见阵列误差校正方法;其次,针对一般方法只能估计不随来波方向变化的阵列误差,及能估计随来波方向变化的高阶累量方法运算量较大的情况,本文以均匀线阵为例,根据矩阵双正交原理,利用一组空时相关矩阵的结构化信息得到较高质量的信号子空间,从而拟合出阵列幅相误差,并循环得到不同来波方向的阵列幅相误差;最后,介绍了GPS抗干扰的几种常见算法并用本文提出的阵列误差校正方法进行校正,使性能得到一定改善。

【Abstract】 Under ideal conditions array signal processing in a multi-channel system is with good performance. However, the actual existence of systematic errors often leads to a serious deterioration in algorithm estimated performance or system output. The array calibration methods are studied in the dissertation to the point .A new array calibration method is raised based on analysis such methods which have been presented before.First, the established array signal error model and several array calibration algorithms are presented. Then, for the methods introduced above ,they can be only use in the condition which the array error does not vary with DOA, and the high-order statistics method effective in that condition has high calculate complexity .A novel method for array calibration is proposed with the linear array (ULA). Base on the biorthogonality between a matrix and its Moore-Penrose pseudo-inverse, the method exploits the structural information of a set of spatio-temporal correlation matrixes, and gives a robust and precise estimation of signal subspace, and then according to the array manifold separates the array error, repeat this approach until it gets all different array errors. Last, the dissertation introduces the common methods of anti-jamming and uses the array calibration above to the anti-jamming algorithm which make the performance improved to some extent.

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