盲波束形成算法仿真及水下试验

Simulation of blind beamforming algorithms and processing of underwater experimental data

盲波束形成技术是针对通信信号的统计性质和确定性性质所构成的一类新的波束形成技术.文中首先对高阶累积量法、基于累积量和特征空间的方法以及最陡下降恒模算法这三种盲波束形成算法进行了详细阐述,然后运用这些算法对单信号源均匀线阵、双信号源均匀线阵、单信号源随机扰动阵和双信号源随机扰动阵四种情况进行仿真.结果表明,三种算法可以进行有效的波束形成,基于累积量和特征空间的方法具有最高的输出信噪比.此外,还通过处理实际水下试验数据验证了这三种算法在实际应用中的有效性.

The blind beamforming was the new kind of technique in terms of the statistical properties and deterministic properties of communication signals. First of all, several algorithms were expatiated, such as the higher-order eumulants method, the eovarianee-eumulant approach and the steepest-descent constant modulus algorithm. Then, these algorithms were used to do experiments on different expectable signals and different arrays. By comparing the performances of these methods, it is found that the eovarianee-eumulant approach is most effective. We also apply blind beamforming algorithms to the underwater experimental data. By processing the actual data, we prove the effectivity of those algorithms.