Download Body Area Communications: Channel Modeling, Communication by Jianqing Wang PDF

By Jianqing Wang

Providing an creation to the basics of physique sector communications, this publication covers the major themes of channel modeling, modulation and demodulation, and function evaluation

A systematic advent to physique region networks (BAN), this e-book specializes in 3 significant elements: channel modeling, modulation/demodulation communications functionality, and electromagnetic compatibility concerns. The content material is logically dependent to steer readers from an introductory point via to in-depth and extra complex topics.

  • Provides a concise advent to this rising subject in line with classroom-tested materials
  • Details the newest IEEE 802.15.6 ordinary activities
  • Moves from very easy physics, to priceless mathematic versions, after which to useful considerations
  • Covers not just EM physics and communications, but in addition organic applications
  • Topics approached contain: hyperlink price range, bit blunders cost functionality, RAKE and variety reception; SAR research for human defense overview; and modeling of electromagnetic interference to implanted cardiac pacemakers
  • Provides Matlab and Fortran courses for obtain from the better half Website

Chapter 1 advent to physique region Communications (pages 1–19):
Chapter 2 Electromagnetic features of the Human physique (pages 21–53):
Chapter three Electromagnetic research equipment (pages 55–87):
Chapter four physique region Channel Modeling (pages 89–142):
Chapter five Modulation/Demodulation (pages 143–180):
Chapter 6 physique region communique functionality (pages 181–221):
Chapter 7 Electromagnetic Compatibility concerns (pages 223–266):
Chapter eight precis and destiny demanding situations (pages 267–271):

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Extra resources for Body Area Communications: Channel Modeling, Communication Systems, and EMC

Example text

2 can be written as En À EnÀ1 @t s 1 ¼ À EnÀ1=2 þ r  H nÀ1=2 e e H nþ1=2 À H nÀ1=2 1 ¼ À r  En @t m ð3:5Þ where EnÀ1=2 ¼ EnÀ1 þ En : 2 ð3:6Þ Thus we have sDt 2e EnÀ1 þ Dt=e r  H nÀ1=2 En ¼ sDt sDt 1þ 1þ 2e 2e Dt H nþ1=2 ¼ H nÀ1=2 À r  En m 1À ð3:7Þ That is to say, from the electric field E nÀ1 at t ¼ (n À 1)Dt and the magnetic field at t ¼ (n À 1/2)Dt, we can get En at t ¼ nDt. And from the magnetic field H nÀ1/2 H at t ¼ (n À 1/2)Dt and the electric field En at t ¼ nDt, we can get Hnþ1/2 at t ¼ (n þ 1/2)Dt.

4 gives a good expression for the dielectric properties of tissue, it is sufficiently complicated so as not to be easily incorporated into actual electromagnetic analysis. 2, however, the dielectric properties are dominated by different dispersions in different frequency bands. 4 may be sufficient in a specific frequency band. 29 can be approximated by the Debye expression. The first-order Debye expression is given by De1 1 þ jvt 1 ð2:5Þ De1 s0 þ 1 þ jvt 1 jve0 ð2:6Þ e_ r ðvÞ ¼ e1 þ or e_ r ðvÞ ¼ e1 þ with an ionic conductivity term s 0 in the human body.

1948) Analysis of tissue and arterial blood temperature in resting forearm. Journal of Applied Physics, 1, 93–122. , and Gabriel, C. (2001) Changes in the dielectric properties of rat tissue as a function of age at microwave frequencies. Physics in Medicine and Biology, 46 (6), 1617–1629. P. (1957) Electrical properties of tissue and cell suspensions, in Advances in Biological and Medical Physics, vol. 5, Academic Press, New York, pp. 147–209. , and Watanabe, S. (2006) Approximation of aging effect on dielectric tissue properties for SAR assessment of mobile telephones.

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