Image Transmission Algorithm for Personnel Monitoring Based on PD-NOMA
Personnel monitoring in hazardous areas requires a high camera density,real-time transmission,and high image quality.Power Domain Non-Orthogonal Multiple Access(PD-NOMA)technology can support the parallel transmission of multiple channels,which is beneficial for improving real-time transmission in dense transmission scenarios.Furthermore,the collaboration of multiple camera nodes can improve image quality.A transmission algorithm based on multi-image fusion is thus proposed to achieve high-quality monitoring in PD-NOMA camera networks for supervising personnel in hazardous areas.The term"single-person information"is defined as a key concept that reflects the probability of accurately identifying a single person in an image.The fusion image information of a single-person captured by multi-camera nodes is then defined based on the spatial relationship between the camera nodes.To maximize the fusion of image information,a real-time transmission scheduling scheme is calculated with the camera node's image resolution and wireless transmission power as control variables,while satisfying the real-time transmission requirements and the recognition of all personnel in the image.Experimental evaluations show that when the real-time transmission upper limit is 0.4 s,the transmission information of the PD-NOMA-based transmission scheduling scheme is 46.4％higher than that of the traditional transmission scheme,increasing the probability of personnel identification in the image from 0.854 9 to 0.891 9.
Power Domain Non-Orthogonal Multiple Access(PD-NOMA)personnel monitoringreal-time transmissionimage information amountimage fusion
万方数据
维普
