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作者新近研究出了一项在杂波中的跟踪持续期间内估算轨迹丢失概率和估计误差的技术，此项技术克服了早期技术不能处理跟踪偏离瞬态过程这一缺陷。作为一种“失去控制”的现象，轨迹丢失显然需要一种瞬时估算的能力，而此项新技术却在无需昂贵的蒙特卡罗（ＭｏｎｔｅＣａｒｌｏ）模拟过程的情况下提供了在跟踪过程中遇到各类不定因素时保持轨迹的可能性。它具有混合的特性，即涉及到对连续的和不连续的不定因素所进行的明确的概率统计。本文阐述了如何运用此项技术选择检测门限，从而对检测－跟踪系统的总体性能进行优化。
The authors recently developed a technique for estimating the probability of trajectory loss and estimation error over the duration of a tracking event in clutter that overcomes the drawback of earlier techniques that could not handle the tracking deviation from the transient process. As a “loss of control” phenomenon, the loss of trajectory obviously requires the ability to estimate instantaneously, and the new technology provides a solution to the problem encountered in the tracking process without the need for expensive Monte Carlo simulations The possibility of keeping track of various uncertainties. It has a mixture of properties, namely, the explicit probability statistics related to the continual and discontinuous uncertainties. This article explains how to use this technique to choose the detection threshold to optimize the overall performance of the detection-tracking system.