National Institute of Telecommunications-Inatel, Av. João de Camargo 510, Santa Rita do Sapucaí 37540-000, MG, Brazil.
Sensors (Basel). 2023 Jun 7;23(12):5403. doi: 10.3390/s23125403.
Recently, the Gini index detector (GID) has been proposed as an alternative for data-fusion cooperative spectrum sensing, being mostly suitable for channels with line-of-sight or dominant multi-path components. The GID is quite robust against time-varying noise and signal powers, has the constant false-alarm rate property, can outperform many the state-of-the-art robust detectors, and is one of the simplest detectors developed so far. The modified GID (mGID) is devised in this article. It inherits the attractive attributes of the GID, yet with a computational cost far below the GID. Specifically, the time complexity of the mGID obeys approximately the same run-time growth rate of the GID, but has a constant factor approximately 23.4 times smaller. Equivalently, the mGID takes approximately 4% of the computation time spent to calculate the GID test statistic, which brings a huge reduction in the latency of the spectrum sensing process. Moreover, this latency reduction comes with no performance loss with respect to the GID.
最近，基尼指数检测器（GID）已被提议作为数据融合协同频谱检测的替代方案，它主要适用于具有视距或主导多径分量的信道。GID 对时变噪声和信号功率具有很强的鲁棒性，具有恒定虚警率特性，能够优于许多最先进的鲁棒检测器，并且是迄今为止开发的最简单的检测器之一。本文提出了改进的 GID（mGID）。它继承了 GID 的吸引人的属性，但计算成本远低于 GID。具体来说，mGID 的时间复杂度大致遵循 GID 的运行时增长率，但常数因子大约小 23.4 倍。等效地，mGID 大约只需要计算 GID 检验统计量所花费的计算时间的 4%，这大大减少了频谱检测过程的延迟。此外，与 GID 相比，这种延迟降低不会带来性能损失。
