多模盲均衡宽带压缩频谱联合特征识别算法

Algorithm of Multimodulus Blind Equalization Broadband Compressed Spectrum Combined Feature Recognition

传统固定频谱分配方案对频谱利用率较低,无法满足通信业务量的迅速扩大的需求。提出一种多模盲均衡宽带压缩频谱联合特征识别算法,首先构建多模盲均衡频谱感知网络模型,设计能量检测算法和信道融合准则,构建多模盲均衡宽带压缩频谱联合特征识别模型,基于非线性检验准则,构建判决统计模型。由于上层的频谱感知节点所要传送的信息量越大,通过特征识别,提高固定频谱分配方案对频谱的利用率。仿真实验表明,该算法能有效实现多模盲均衡宽带压缩频谱联合特征识别,提高无线频谱信号的感知和特征识别能力,特征识别的准确率提高,提高固定频谱分配方案对频谱的利用率,仿真实验展示了算法的优越性能。

The traditional fixed spectrum allocation scheme on the spectrum utilization rate is low, unable to meet the com?munication traffic of the rapid expansion of demand. Put forward a kind of multi modulus blind equalization broadband com?pressed spectrum combined with feature recognition algorithm, firstly construct the Multimodulus blind equalization spec?trum sensing network model, design of energy detection algorithm and channel fusion criterion, construct multi modulus blind equalization broadband compressed spectrum combined with feature recognition model, nonlinear test based on the criterion of constructing decision statistic model. Because the amount of information spectrum sensing nodes to transmit the upper bigger, increase the fixed spectrum allocation scheme on the spectrum utilization. Simulation results show that the al?gorithm can effectively realize the Multimodulus blind equalization broadband compression characteristic spectrum recogni?tion, enhance the perception and feature recognition ability of wireless spectrum signal, the accuracy rate of feature recogni?tion to improve, it can improve the utilization of fixed spectrum allocation scheme for spectrum ratio, simulation experi?ments demonstrate the superior performance of the algorithm.