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首页> 外文期刊>IEEE Transactions on Aerospace and Electronic Systems >Threshold optimization for distributed order-statistic CFAR signaldetection
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Threshold optimization for distributed order-statistic CFAR signaldetection

机译：分布式阶数统计CFAR信号检测的阈值优化

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摘要

Distributed signal detection schemes have received significant attention recently, but usually under the assumption of stationary observations which are independent from sensor to sensor. Here, order statistics based constant false alarm rate (OS-CFAR) detection techniques are applied to a distributed detection system with nonstationary observations where the signal observations are assumed to be dependent from sensor to sensor. Cases are considered where weak narrowband random signals are observed in additive Gaussian noise-plus-clutter of unknown power. Necessary conditions are given which specify the best sensor thresholds for some n-sensor cases. The best schemes using nonrandomized fusion rules are found for some specific two-sensor cases. The best schemes map use either AND or OR fusion rules depending on the specific false alarm probability and the number of reference observations used in the OS-CFAR scheme. Distributed OS-CFAR and cell-averaging CFAR (CA-CFAR) schemes are compared in terms of their capability to maintain false alarm probability in nonhomogeneous backgrounds. At least for the specific cases we have studied, there are OS-CFAR schemes which generally outperform the CA-CFAR schemes in this regard
机译：分布式信号检测方案近来受到了广泛的关注，但是通常是在固定观测的假设下进行的，该观测独立于传感器。在这里，基于顺序统计的恒定误报率（OS-CFAR）检测技术被应用于具有非平稳观测的分布式检测系统，其中信号观测被假定为取决于传感器。考虑在未知功率的加性高斯噪声加杂波中观察到弱窄带随机信号的情况。在某些n传感器情况下，给出了指定最佳传感器阈值的必要条件。对于某些特定的两传感器情况，找到了使用非随机融合规则的最佳方案。最佳方案图根据特定的误报概率和OS-CFAR方案中使用的参考观测值的数量使用AND或OR融合规则。比较了分布式OS-CFAR和小区平均CFAR（CA-CFAR）方案在非均匀背景下保持虚假警报概率的能力。至少对于我们研究的特定情况，在这方面，有OS-CFAR方案通常优于CA-CFAR方案

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