基于自适应噪声抵消器的参数估计器

A parameter estimator based on adaptive noise canceller

摘要: 自适应噪声抵消器在高信噪比条件下往往难以取得良好的处理效果,从而使其在参数估计方面的应用受到了很大的限制。本文提出了一种基于自适应噪声抵消器的参数估计方法。该方法的特点是除干扰假定为快速变化的以外对目标运动和干扰无需更多的先验信息,并且滤波和跟踪能力均令人满意。对海试方位数据处理结果表明,该参数估计器具有良好的性能。在参数估计方面具有广泛应用的前景。

Abstract: The application of an adaptive noise canceller to parameter estimating is restricted for its unsatisfactory performance in the condition of high SNR input.Based on an adaptive noise canceller,the article presents a parameter estimating method,which shows nice filtering function and good tracing ability with unknown prior information of interference and motion model of the object.The presented estimator only needs a condition that the interference noise varies faster than the parameter to be estimated.
The presented method as a bearing estimator is used to process the data collected in a sea experiment and the results have shown exciting property.