Experimental Study On The Technology Of Recognizing The Target Information Based On Bioradar

The bioradar is the result of the combination of radar technology and biomedical technology, which can be used to detect the lifeform parameters signals such as respiration and body-movement of the living objects like human beings, without any sensor or electrode touching the body at some distance. The technology can be widely used during the wartime and peacetime in the field such as military medicine to search the wounded soldiers, emergency medicine to locate the wounded people buried in the debris after earthquake or ruins.We not only pay attention to telling the target whether is living or not, but mor information such as the distance between the human beings and the bioradar, the difference between the human beings and animals and different numbers of people in the applied occasions described above. The continuous wave (CW) bioradar made by our team can automatically tell whether the target is living or not with an intelligent algorithm, but there exists two main problems. First, it cannot automatically identify the target information, including whether the target is human beings or animals and one person or more. Second it cannotmeasure the distance between the target and the bioradar. According to these two problems existing in the CW bioradar made by our team, following studies and experiments have been performed in the paper:1. Achieving the experimental data by detecting the respiraion signal in the different conditions of human beings or dogs and different numbers of people, and analysing the feature of the data with the techonology of power spectral density (PSD) estimation and spectrogram transform (SPT) to find the difference existing in the target information detected by the CW bioradar made by our team, which can provide the data source to identify and classify the target informationn. 2. Selecting the technology of statistical pattern recognition (STPR) based on singular value decomposion (SVD) to extract the mode feature vectors and minimum distance classifier (MDC) to automatically recognize the target information. 3. Designing and developing the experimental bioradar based on the technology of ultra-wide band (UWB) radar to range the human subject, and making some experiments including detecting the lifeform parameters such as respiration and body-movement signal of a human subject in free space or penetrating the walls.The main results that have been accomplished in the paper are listed below: 1 .Provided the method of spectrogram transform to extract the feature vectors of the detecting subject to be the basis of target information recognition. 2. Provide the method of STPR based on SVD and MDC to identify the human beings from animals or one person from more. 3. Developed the experimental bioradar based on UWB to range the subject using its range gating technology.Innovations in the paper are listed below: 1 .Provided the method of STPR based on SPT and SVD to make the computer automaticaly recognize the target information detected by the bioradar, including the target whether is human...