水下混沌信号降噪研究

Analysis on noise reduction of underwater chaotic-fractal signals

针对传统子空间降噪算法只适用于多通道信号,并且传统子空间降噪算法对低信噪比信号降噪效果不理想。对此进行了相应的改进,提出利用多次迭代降噪的思想实现。首先利用相空间重构技术将单一的混沌信号转换为适用于子空间降噪算法的多通道信号,并且利用信噪比改善量控制迭代次数和用降噪之后的吸引因子相图评估降噪效果。大量试验结果表明,该算法具有运算速度快,失真少,评估可靠的特点并且对低信噪比信号也有较好的效果。

An advanced multiple iterative noise reduction method is presented, for the conventional subspace noise reductions have no efficient on the low SNR signals and which is good for the multi-signals. First the spatial construct transform the single signal is used to multi-signals for the sake of adapting to the subspace noise reductions. And the advanced algorithm took the SNR improvement as an iterative controller. We also took the attractor-spatial figures evaluated the effect of the noise reduction. The mass experimentations validated the method had some excellences such as good reduction result, well saved local properties, less distortion and quick calculation.