基于互素对称阵的近场源定位

针对近场源定位中存在的孔径损失问题,该文提出了一种新的近场源定位算法。该算法采用互素对称阵列,使得阵元间距不必限制于1/4信号波长。首先构造一个特殊的四阶累积量矩阵,进而采用MUSIC算法估计信源方位角,然后在每个估计方向上搜索距离。该算法将近场源2维定位问题转化为多次1维搜索,且参数自动配对。互素对称阵的使用有效地扩展了阵列孔径,提高了空间分辨概率和参数估计性能。计算机仿真验证了该算法的有效性。

Near-field Sources Localization Based on Co-prime Symmetric Array

For the issue of aperture loss appears when localizing near-field sources, a novel near-field source localization algorithm is presented. The algorithm is based on the co-prime symmetric array, thus the intersensor spacing need not be limited to quarter-wavelength. First, a special fourth-order cumulant matrix is constructed to estimate the azimuth angles of sources by the MUSIC algorithm. Second, the range parameters of sources can be obtained by searching the spectral peak with each estimated bearing angle. The algorithm transforms the two-dimensional localization issue into several one-dimensional searching issue, and the parameters are automatically paired. The array aperture is extended by using co-prime symmetric, and the algorithm improves the spatial resolution and parameters estimated performance. Simulation results verify the effectiveness of the proposed algorithm.