水声宽带信号波形预报技术研究

为了实现远程水下目标微弱信号检测,掌握远程传输后信号波形的特征,水声宽带信号波形预报技术是研究水下信号精细化特征研究的重要突破口之一.针对宽带信号,采用波束位移射线简正波(BDRM)频域合成波形预报算法和 BELLHOP 射线时域波形预报算法,获得宽带信号远程波形预报模型,并在浅海负跃层和深海声道两种典型海洋环境下,利用上述两种宽带波形预报算法,仿真计算了宽带信号远程波形,比较了两种波形预报算法精度.结果表明,在一定条件下,两种模型具有同等计算精度,可满足不同条件下的信号波形预报需求.

Research on underwater broad-band signal prediction

Because taking signal characteristic for detection about long-distance underwater weak signal, research for acoustic signal and ocean channel transfer characteristic were matched closely. Research on underwater broad-band signal prediction techniques was one of the important breakthrough in the study of refinement characteristics of underwater signal. The paper aims at broadband signal, making use of beam displacement ray mode(BDRM) frequency domain synthetic waveform algorithm and BELLHOP ray time domain waveform algorithm building broadband signal long-distance waveform prediction model. Under typical ocean environment including shallow water with a thermocline and deep sound channel, it took advantage of two kinds of broadband waveform predict algorithm mentioned above, simulating long-distance broadband signal waveform and comparing algorithm predict precision. It pointed out that on certain conditions, the two models have the same calculation accuracy, and can meet the needs of a signal waveform forecast under different conditions.