Research On Indoor UWB Wireless Domain Network Based On Measurement

In the domestic, the difficulty and high cost of getting medical service which is the most headache problem for people, coupled with a large aging population base make the tense doctor-patient relationship difficult to alleviate in a short time. In this case, to design intelligent medical equipment using the wireless body area network has been put forward by many experts and scholars. The medical equipment near the human body can monitor and collect human physiological indexes, and transmit data to a hospital center system of several kilometers away. Thus, the orderly and timely treatment of the disease is achieved. Wireless body area network plays an important role in the signal detection and transmission of the patients, but overall the research on the channel characteristics and modeling of the wireless body area network is still not mature.By combining with the research status of wireless body area network, indoor ultra wideband wireless channel is researched based on the measured signal in this paper. The specific work is as follows:Firstly, ultra wideband (UWB) channel is measured in the frequency range of2-6GHZ in the Yunnan radio monitoring center and in the frequency range of6-9GHZ in the3rd floor office of Huaizhou building of Yunnan University. Measuring equipment is Agilent vector network analyzer. The ultra wideband fractal antenna with working frequency range of2.2-10.2GHz designed and processed by our laboratory is used to transmit and receive signals. The test object is walking. Many groups of different parts of the body are tested and2000frequency points are recorded.Secondly, the power delay profile (PDP) of the measured data is simulated, and the PDP simulation figure is obtained. The approximate location of delay cluster is determined through method of judging with the naked eye, and the first path power and coordinate of each cluster is got by using MATLAB tools. The average delay, root mean square (RMS) delay spread and fading characteristic of the cluster are statisticed. Then the probability density function (PDP) is used to fit the fading characteristics of the cluster, and the statistical table of the fading characteristics is listed based on the card method and the K-S method.Finally, a UWB simulator is used to simulate the fading characteristics. The UWB simulator is proposed based on the clustering characteristics. The whole time delay period is divided into N clusters, Each segment signal has a corresponding fading distribution.By comparing the simulation and the measured results, it can be seen that the simulation results are very good in the Yunnan radio monitoring center and Yunnan University. Through the analysis, the measured signal is influenced by the test environment and the accuracy of the test results is also influenced by the test process.