Research On Target Detection Algorithm Of Handheld Passive Radiation Security Scanner

With the development of society,although the global situation is generally stable,there are still local turbulences.Many of them have terrorism.Terrorists pose a threat to social security by carrying a variety of hidden objects.Therefore,the update of security inspections needs to keep pace with the times.Therefore,the update of the security detector needs to keep pace with the times.The characteristics of portable,multi-target detection and no harm to human body have become the research hotspot.Blackbody radiation explains that any target object will radiate different electromagnetic energy,and the millimeter wave-based radiometer is developed according to this feature.The original radiometers were used for satellite remote sensing,requiring larger antenna arrays and other hardware facilities to increase the difficulty of research.With the in-depth study of this technology,it has been able to be applied to large airport security and object imaging.The front end of this paper is a handheld security detector based on millimeter wave passive radiometer,which is small in size,easy to carry,and has low radiation hazard.The use of millimeter wave technology for handheld security inspection has a broad prospect and significant application value.Based on specific scientific research projects,this paper has completed the design of the data acquisition system of the handheld passive radiation security inspection instrument,and realized the preprocessing of the original signal by communicating with the PC,so as to complete the detection of several target objects.Through the data acquisition system,this paper has confirmed several problems that need to be solved in the design through multiple experimental tests on different targets:(1)The real-time detection signal is noisy;(2)The characteristics of the detection signal of different targets are not obvious.In order to find a way to solve it,In response to the above problems,first of all,the system noise should be determined,which can be well solved by Allen variance method,on the basis of determining the signal noise,several algorithms are used to process it.Choose a denoising scheme suitable for this system,and then complete the feature extraction of different target objects in the wavelet domain based on the preprocessed signal,and finally,through the feature extraction and the different features of the measured signal,several target detection algorithms are proposed,and finally the detection of several target objects is realized.