资源受限的认知无线电系统优化合作频谱感知算法

认知无线电的首要任务就是动态地感知频谱,合作频谱感知提高了频谱感知的可靠性.目前大多数频谱感知算法采用全部认知无线电台参与感知,并且假设每个认知无线电台的信噪比的测量值为一常数.然而,由于无线信道的特性和环境差异,每个认知无线电台的信噪比是有差异的,同时系统资源也是有限的.基于此,在采用能量检测硬判决的合作频谱感知算法基础上,提出一种优化的频谱感知算法.它在满足给定系统探测概率及虚警概率前提下,采用部分性能较好的认知无线电台参与频谱感知,并使系统感知开销最小.理论和仿真证明了其合理及有效性.

Optimal Cooperative Spectrum Sensing Algorithm of the Resource Constrained Cognitive Radio Networks

The primary task of cognitive radio is dynamically sensing spectrum. Cooperative spectrum sensing increases the reliability of spectrum sensing. Recently most spectrum sensing algorithm uses all the cognitive radio to participate in the sensing and assumes the SNR measured values of each cognitive radio as a constant. However, because the characteristics and environment of wireless channel have difference, the SNR of each cognitive radio is difference and system resources arc also limited. Based on this, we proposed an optimized spectrum sensing algorithm on the foundation of cooperative spectrum sensing which uses hard decision. It can use partial of cognitive radio to participate in spectrum sensing and minimize the sensing overhead. The analytic results were verified by computer simulation.