标志位频谱感知方法研究

文章提出了一种新的标志位频谱感知方法,主要由数据采集和频谱感知两部分组成.前者主要基于标准的压缩感知技术,研究了一种标志位数据采集方法,仅保留测量数据的标志位信息,从而减少了测量数据的存储量.后者基于一致恢复原理和共轭梯度算法来构造频谱感知算法.仿真结果表明,标志位频谱感知方法可以在降低数据采集量及存储量的同时完美获取原始信号的频谱信息.该方法可以应用于无线通信、电子对抗、智能吸波结构以及感知无线电的前端频谱测量设计阶段中. 关键词： 频谱感知 标志位压缩感知 智能吸波结构

Investigation of sign spectrum sensing method

Spectrum measurement technology is widely used in wireless communication, electronic countermeasure, cognitive radio, smart absorbing structure, etc. In this paper we propose a new sign spectrum sensing approach which contains mainly data acquiring stage and spectrum sensing stage. In the former stage, based on the standard compression sensing, we propose a new sign data acquiring approach, in which we preserve only the sign information about the measurements, so that the data storage space is reduced. In the latter stage, we construct the spectrum sensing algorithm based on the consistent reconstruction principle and the gradient steepest descent algorithm. Simulation results demonstrate that this approach reduces the number of measurements and the data storage space, and at the same time this approach perfectly acquires the spectrum information. This approach can well be used in front spectrum measurement stage of wireless commucation, electronic countermeasure, smart absorbing structure and cognitive radio.