一种宽带源高分辨测向的降维处理方法
The dimension reduction approach to direction finding of wide-band sources
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摘要: 提出一种宽带源测向的降维处理方法.通过空间内插函数在宽带波束形成中的应用,求得一转换矩阵,该矩阵将M×1维阵元空间变换到K×1维的波束空间,并且在带宽范围内形成不同频率的正交等波束空间,利用降维的波束空间数据求出空间互谱密度矩阵(CSDM:CrossSpectralDensityMatrix),最后由MUSIC方法测向.降维处理具有简化运算,提高分辨性能的优点。Abstract: In this paper, a dimension reduction approach is presented for direction finding of wideband sources. The spatial interpolating function used to design wideband beamformer is applied here to obtain a matrix, which transforms sensor space to reduced dimension beam space (RDBS), where the beam patterns corresponding to all frequencies are similiar. Then, the compound cross spectral density matrix (CSDM) in the RDBS can be got, and the MUSIC algorithm is used to find the directions. This dimension reduction processing simplifies computation and has good performance.