In this paper, we maximize the benefits from the ultra low power wideband sensing approach based on FFT-based 1-bit quantization by addressing the practical limitations to this method. Unlike the conventional architecture that assumes a fully synchronized and coordinated Primary User (PU) network, the proposed system relaxes these limitations by providing an analytical framework for an uncoordinated asynchronous FFT-based 1-bit quantization system. For this system, we analytically derive the sub-band power which is the main parameter for the closed-form expressions representing the false alarm and detection probabilities. Further, improving the system performance through cooperative sensing is considered. While respecting the decision fusion cooperation, the optimum threshold for the generalized FFT-based 1-bit quantization system is derived such that the aggregate error rate is minimized. In addition to its significant power and complexity reduction, the presented analysis expands the use of the FFT-based 1-bit quantization wideband sensing approach in practical deployments. The sensing performance and the analytical results are assessed through comparisons with respective results from computer simulations.

中文翻译：

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用于宽带频谱感知的基于广义 FFT 的一位量化系统

在本文中，我们通过解决基于 FFT 的 1 位量化的超低功耗宽带传感方法的实际局限性，最大限度地发挥了该方法的优势。与假定完全同步和协调的主要用户 (PU) 网络的传统架构不同，所提出的系统通过为基于非协调异步 FFT 的 1 位量化系统提供分析框架来放宽这些限制。对于这个系统，我们通过分析推导出子带功率，它是代表虚警和检测概率的闭式表达式的主要参数。此外，还考虑了通过协作感知来提高系统性能。在尊重决策融合合作的同时，导出基于广义 FFT 的 1 位量化系统的最佳阈值，从而使总错误率最小化。除了显着降低功率和复杂性之外，所呈现的分析扩展了基于 FFT 的 1 位量化宽带传感方法在实际部署中的使用。传感性能和分析结果是通过与计算机模拟的相应结果进行比较来评估的。