论文标题
一种新型的低复杂性高分辨率光谱孔检测技术
A Novel Low Complexity High Resolution Spectrum Hole Detection Technique for Cognitive Radio
论文作者
论文摘要
认知收音机是解决即将到来的频谱紧缩问题的潜在解决方案。在认知无线电中，可以使用光谱传感技术来识别光谱孔。高分辨率的光谱孔检测可以有效地确保光谱中最小的非活性部分。在本文中，提出了一种频谱孔检测技术，其中最初进行粗糙感应以同时检测占用的通道。可以使用精细感应方法有效检测到占用条带中的光谱孔。两个阶段频率响应掩蔽（FRM）过滤器夹在两个基于PASCAL结构的采样率转换器之间会导致带宽的任意变化。带宽的这种任意变化可以用于细光谱，以便可以通过高分辨率检测光谱孔。在提出的方法中，可以实现光谱孔检测中的高分辨率，而无需增加设计的硬件复杂性。将所提出方法的硬件复杂性与艺术的状态进行了比较，并且发现明显少得多
Cognitive radio is a potential solution to meet the upcoming spectrum crunch issue. In a cognitive radio, spectrum holes can be identified using spectrum sensing techniques. A high resolution spectrum hole detection can ensure even the smallest inactive portion in the spectrum is efficiently utilized. In this paper, a spectrum hole detection technique is proposed in which coarse sensing is done initially so as to detect occupied channels simultaneously. Spectrum holes in the occupied band can be efficiently detected using a fine sensing method. A two stage Frequency Response Masking (FRM) filter sandwiched between two Pascal structure based sampling rate converters results in arbitrary variation of bandwidth. This arbitrary variation of bandwidth can be utilized for fine sensing the spectrum such that the spectrum holes can be detected with high resolution. In the proposed method, high resolution in spectrum hole detection can be achieved without increasing the hardware complexity of the design. The hardware complexity of the proposed method is compared with the state of the art and is found to be significantly less
