基于空-时子带结构的宽带波束形成

Broadband Beamforming Based on Spatial-Temporal Subband Structure

提出一种基于空域嵌套复合阵和时域多率子带相结合的空-时宽带自适应波束形器。子带的实现以通用参数滤波器组为基础。每个子阵的宽带波束处理器采用同一组FIR滤波器来实现,大幅减少了加权数目,同时子阵实现了并行处理,每个子阵工作在最低的采样速率下,进一步降低了处理器的运算量。仿真结果表明,此结构的处理器不仅能实现宽带波束形成,而且还大大降低了波束形成器的数据运算量。

The paper proposes a broadband adaptive beamformer of Spatial-Temporal Subband （STS） structure, which is based on a combination of harmonically nested array in space domain and multi-rate subband in time domain. The subband is implemented by a general parameter filter bank. In this structure, only one FIR filter is needed to be designed for each sub-array, which helps to reduce the number of array weights greatly. In addition, the computational load is much decreased due to the fact that each sub-array runs in the lowest sample rate and operates in parallel with each other. The simulations show that the proposed beamformer based on STS structure is effective for broadband beamforming with much less computational complexity.