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The purpose of this study is to realize the detection of the through wall personal based on IR-UWB radar. The through wall detection system sends IR-UWB signal to the detection area, which can penetrate the wall and radiate to the detection area behind the wall. When transmitting or receiving IR-UWB signal, antenna array with a certain aperture is needed to achieve azimuth resolution. After receiving the echo signal, the IR-UWB through wall detection system stores or directly transmits the echo signal containing the target information to the signal processing platform for subsequent detection processing. This study can achieve the number of obstacle crossing and detection based on BP neural network, and can detect different numbers and different obstacles through two detection methods. The final experimental results show that compared with the traditional probability method based on maximum likelihood estimation, the probability of this method has been greatly improved, and the judgment effect has also been significantly enhanced. The achievements of this project can be extended to the fields of human and animal recognition, human health detection, intelligent medical treatment, intelligent home and so on, based on the protection of privacy.

Study on the detection method of the number of people passing through the wall based on IR-UWB