一种利于工程应用的快速反卷积波束形成方法

针对传统的反卷积波束形成算法在处理宽带随机信号时计算量过大的问题，给出了一种利于工程应用的快速反卷积波束形成方法。利用不同频率阵列波束图的相似性，将宽带随机信号划分成非等间距的多个窄带，并在每个窄带取一个频率点的点扩散函数(Point Spread Function, PSF)进行反卷积的近似处理，极大地提高了反卷积波束形成的计算速度。通过在波束功率谱上进行边界扩展，解决了因 Richardson-Lucy(R-L)迭代算法带来的边界模糊问题，进一步提高了计算速度。仿真和海试结果表明，该方法相对于常规波束形成具有更高的分辨力、更高的处理增益和更好的旁瓣抑制能力；相对于传统反卷积波束形成计算速度提升了 50%以上。

A fast deconvolution beamforming method conducive to engineering application

Due to excessive computation of conventional deconvolution beamforming algorithm in processing wideband random signals, a fast deconvolution beamforming method conductive to engineering applications is proposed. According to the similarity of the beam patterns at different frequencies, the wideband random signal is divided into multiple narrow bands with non-equal spacing, and the approximate processing that takes the point spread function (PSF) at the central frequency point in each narrow band for deconvolution is performed, so that the calculation speed of deconvolution beamforming can be greatly improved. By expanding the boundary on the beam power spectrum, the boundary blur problem caused by the Richardson-Lucy (R-L) iterative algorithm is solved, and the calculation speed is further improved. Simulation and sea trail results confirm that this method has higher resolution, higher processing gain and better sidelobe suppression compared to conventional beamforming; and the operational speed is increased by more than 50% compared with conventional deconvolution beamforming method.