针对存在系统误差的阵列模型,提出了一种有源标校下的联合估计测向算法.该算法把误差矩阵估计转化为误差系数估计,并采用到达角精确已知的源信号进行标校,在此基础上使用最小二乘法联合估计幅相不一致误差系数和互耦误差系数,最后使用结合误差矩阵的MUSIC算法测量信号的到达角.仿真表明,该算法仅需要3个标校源,其精度相比于无阵列误差情况下降0.05°,具有较好的工程可实现性.%This paper presents a joint estimation algorithm under calibration with signal sources for high-precision direction finding with the array model of systemic error. The proposed algorithm transforms estimation of error matrix into error coefficients estimation and source signals with precisely known degree of arrival (DOA) are used for calibration. Then, least square algorithm is applied for joint estimation of amplitude, phase and mutual coupling error coefficients. Finally, MUSIC algorithm is used to measure the DOA with the estimated error matrix. Simulation results show that the proposed algorithm needs only three source signals for calibration and its precision drops by only 0. 05 degrees than those without systematic errors. Therefore, it is desirable for engineering applications.
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