无线激光传感网络的压缩感知研究

Research on compressed sensing of wireless laser sensor network

针对当前无线激光传感网络压缩感知过程,一直存在压缩耗时长,性能差的问题,提出新型的无线激光传感网络压缩感知方法。通过主成分分析法,对激光传感网络信息进行降维处理,采用类间可分性的最佳波段选择方法,获取无线激光传感网络信息波段预测序列。通过SAP聚类方法对无线激光传感网络进行聚类,并以灰度共生矩阵为基础,引入灰度转换法,实现对无线激光传感网络进行压缩感知。实验结果表明,改进压缩感知方法运行时间短,整体性能要优于传统法。

In view of the traditional compression perception process of the wireless laser sensor network,there has been a long compression time and poor performance. A wireless laser sensing network compression sensing method based on the gray level co-occurrence matrix and the gray conversion method is proposed. Using the principal component analysis method,the laser sensor network information is reduced to dimension,and the optimal band selection method of interclass is adopted to obtain the information band prediction sequence of the wireless laser sensor network.The SAP clustering method is used to cluster the wireless laser sensor network,and based on the gray level co-occurrence matrix,the gray conversion method is introduced to realize the compression perception of the wireless laser sensor network. Experimental results show that the improved compressed sensing algorithm has shorter running time and better overall performance than traditional compression methods.