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一、引言通过 Bryn 和 Mermoz 的工作,最佳基阵的理论已为水声界所熟知。他们的工作与其他检测及估值问题的关系已在文献中讨论过了。最佳基阵处理系统利用信号场和噪声场的详细信息。由于这些信息在事先不能确切知道,因此人们自然就想到自适应波束形成器,自适应波束形成器通过某种现场的测量来不断地调节其参数。正由于自适应处理器是不断调节的,因此很自然会问:如果信号场、噪声场及系统参数相对于它们的假设值或估计值有一个小的变化,那末自适应处理器的性能对这些变化的敏感性有多大?
I. INTRODUCTION Through the work of Bryn and Mermoz, the theory of optimal arrays has become well known in the field of underwater sound. The relationship between their work and other testing and valuation issues has been discussed in the literature. The best array processing system uses detailed information of the signal field and the noise field. Since these pieces of information can not be known in advance, one naturally comes to the idea that adaptive beamformers constantly adjust their parameters through some kind of on-site measurement. Due to the continual adaptation of the adaptive processor, it is natural to ask: If the signal, noise, and system parameters have a small change from their assumed value or estimate, then the performance of the adaptive processor will affect these How sensitive is the change?