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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Detection threshold selection for tracking performance optimization
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Detection threshold selection for tracking performance optimization

机译：检测阈值选择，用于跟踪性能优化

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摘要

A technique for the evaluation of the track loss probability and the estimation error during track maintenance in clutter has been developed recently by the authors. This work overcomes the limitation of an earlier technique that does not handle the transient process of tracking divergence. Track loss, being a “runaway” phenomenon, clearly requires transient evaluation capability. The new technique provides, without the need for expensive Monte Carlo simulations, the probability that a hack is maintained in the presence of all sources of uncertainty encountered In a tracking process. This technique is of a hybrid nature; it involves explicit probabilistic accounting of both the continuous and the discrete uncertainties. Here it is demonstrated how this technique can be used for the selection of the detection threshold to optimize the overall performance of a detection-trading system
机译：作者最近开发了一种用于在杂波中的轨道维护期间评估轨道损失概率和估计误差的技术。这项工作克服了早期技术的局限性，该技术不能处理跟踪发散的瞬态过程。轨道损耗是一种“失控”现象，显然需要瞬态评估功能。这项新技术不需要昂贵的蒙特卡洛模拟，就可以在跟踪过程中遇到所有不确定性源的情况下保持黑客入侵的可能性。这种技术具有混合性。它涉及连续不确定性和离散不确定性的显式概率计算。这里展示了如何将该技术用于检测阈值的选择，以优化检测交易系统的整体性能

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