Array Calibration Based on Improved Instrumental Sensors Method

Zeyang Dai, Xu Wang, Jian Liu
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引用次数: 1

Abstract

Instrumental Sensors Method (ISM) is an effective algorithm for joint estimation of signal Direction-of-Arrival(DOA) and direction-dependent array errors. However, this algorithm has some disadvantages, such as high computation complexity. In this paper, we propose an enhanced algorithm based on the basic ISM, in which there are two improvements to reduce the computation complexity. First, the improved algorithm combines least square method (LSM) with ISM to estimate signal DOA and direction-dependent array errors. Second, the improved algorithm simplifies matrix calculation when instrumental sensors are just one more than input signals. These two improvements can effectively estimate the signal'sDOA and direction-dependent array errors. The proposed algorithm has the same performance comparing with the basic ISM algorithm, but with the lower computation complexity. The simulation results show that the enhanced algorithm is effective, and it is convenient for the practice.
基于改进仪器传感器方法的阵列标定
仪器传感器法(ISM)是一种有效的信号到达方向(DOA)和方向相关阵列误差联合估计算法。但是,该算法存在计算复杂度高的缺点。在本文中,我们提出了一种基于基本ISM的增强算法,其中有两个改进来降低计算复杂度。首先,将最小二乘法(LSM)与最小二乘法(ISM)相结合,对信号的DOA和方向相关的阵列误差进行估计。其次,当仪器传感器仅比输入信号多一个时,改进算法简化了矩阵计算。这两种改进可以有效地估计信号的doa和方向相关的阵列误差。与基本的ISM算法相比,该算法具有相同的性能,但计算复杂度更低。仿真结果表明,改进后的算法是有效的,便于实际应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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