同频带耦合噪声源的量化识别

Quantitative Identification of Coupling Noise Source of Same Frequency Band

提出一种将盲信号处理用于同频带耦合噪声源的量化识别新方法。盲信号处理是一种在源信号相互独立的假设下,仅利用观测信号恢复出源信号的方法。盲信号处理存在固有的幅值和顺序的不确定性,使得其只能用来进行源识别的定性分析。在不考虑顺序不确定性的前提下,利用自适应噪声抵消自适应估计传递函数的特性,消除幅值不确定性在源量化识别中的影响。理论和水池试验均验证了该方法的可行性。提出的量化识别算法,同样可以解决自适应噪声抵消中参考输入相互耦合的问题,提高其分析精度。

A new method of applying blind signal processing is presented to identify noise source quantitatively of same frequency band. Blind signal processing is a method to recover source signals by only utilizing observed signals on the assumption that the source signals are mutually independent. Blind signal processing can only be used to identify noise ,source qualitatively because of the inherent indeterminacy of amplitude and order. Without considering the order indeterminacy, a new method is presented to eliminate the effects of amplitude indeterminacy in noise source identification by using the adaptive noise characteristic of cancelling out the estimating transfer function adaptively. The feasibility of this method is confirmed theoretically, and then testified by tank experiment. The method proposed can also be used to solve the problem of reference inputs coupling in adaptive noise cancellation, and improve the analysis accuracy.