Spectrum sensing is an efficient way to determine the spectrum availabilities over the frequency range of interest, aiding in improving the spectrum utilization in the cognitive radio (CR) systems. Conventional Nyquist multiband sensing entails higher computational capability for sampling, quantization, and subsequent processing, lending the approach infeasible for applications with limited power budgets. In this brief, a power-efficient spectrum-sensing technique is proposed, which explores an accuracy-complexity tradeoff. The presented spectrum-sensing architecture is based on 1-bit quantization at the CR receiver and implements it in hardware by a resource- and power-efficient approach, using a finite-impulse-response (FIR) filter-bank channelizer. The proposed scheme allows the complex operators like multipliers and quantizers to be replaced by the inverter logic and high-speed comparators, reducing the hardware complexity and power consumption. We validate the proposed scheme on a field-programmable gate-array (FPGA) emulator for an aeronautical L-band digital aeronautical communication system (LDACS) application, and our results show that the proposed scheme achieves substantial resource reduction with at most 5% degradation in the detection accuracy in this case.

中文翻译：

---

使用 1 位量化器和改进滤波器组的节能频谱检测方案


频谱感知是确定感兴趣频率范围内频谱可用性的有效方法，有助于提高认知无线电 (CR) 系统的频谱利用率。传统的奈奎斯特多频带感测需要更高的采样、量化和后续处理计算能力，使得该方法对于功率预算有限的应用不可行。在本文中，提出了一种节能频谱传感技术，该技术探索了精度与复杂性的权衡。所提出的频谱感知架构基于 CR 接收器处的 1 位量化，并使用有限脉冲响应 (FIR) 滤波器组通道器，通过资源和功率高效的方法在硬件中实现它。该方案允许用反相器逻辑和高速比较器取代乘法器和量化器等复杂运算符，从而降低硬件复杂性和功耗。我们在航空 L 波段数字航空通信系统 (LDACS) 应用的现场可编程门阵列 (FPGA) 仿真器上验证了所提出的方案，结果表明，所提出的方案实现了资源的大幅减少，性能下降最多 5%在这种情况下的检测精度。