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Joint Detection Estimation Problem of Monopulse Angle Measurement

机译:单脉冲角度测量的联合检测估计问题

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摘要

Estimation of the direction of arrival (DOA) of a signal source by means of a monopulse estimation scheme is one of the oldest and most widely used high-precision techniques in operational tracking systems. Although the statistical performance of this estimation technique has been extensively investigated, it has never been analyzed from the viewpoint of the joint detection-estimation problem. As a consequence the historical form of the (detector-angle estimator) solution has become the usual form implemented in operational tracking systems and may restrict their accessible performance. Indeed, the application of the optimal detection theory reveals alternative (detector-angle estimator) solutions providing other relevant trade-offs in detection-estimation performances that are worth considering to optimize the performance of the tracking system according to the scenario. Both stochastic signal model (Rayleigh-type signal source) and deterministic signal model (signal source of unknown amplitude) have been investigated, leading to a novel but equally simple (detector-angle estimator) solution through which analytical statistical prediction has been derived. Comparison of detection-estimation performances of new and usual solutions is presented.
机译:借助于单脉冲估计方案估计信号源的到达方向(DOA)是操作跟踪系统中最古老,使用最广泛的高精度技术之一。尽管对该估计技术的统计性能进行了广泛研究,但是从未从联合检测估计问题的角度对其进行分析。结果,(检测器角度估计器)解决方案的历史形式已成为在操作跟踪系统中实现的常用形式,并且可能会限制其可访问的性能。确实,最佳检测理论的应用揭示了可替代的(检测器角度估计器)解决方案,在检测估计性能中提供了其他相关的折衷,值得根据场景优化跟踪系统的性能。研究了随机信号模型(瑞利型信号源)和确定性信号模型(幅度未知的信号源),从而得出了一种新颖但同样简单的(检测器角度估计器)解决方案,通过该解决方案可以导出分析统计预测。提出了新的和常用解决方案的检测估计性能的比较。

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