1 / 32

C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS

C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS. Figure 11.1 Typical binary polar signaling and linear receiver. Figure 11.2 Optimum choice for sampling instant. Figure 11.3 Correlation detector. Figure 11.4 Optimum binary threshold detection.

yama
Download Presentation

C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. C H A P T E R 11 PERFORMANCE ANALYSIS OF DIGITAL COMMUNICATION SYSTEMS

  2. Figure 11.1 Typical binary polar signaling and linear receiver.

  3. Figure 11.2 Optimum choice for sampling instant.

  4. Figure 11.3 Correlation detector.

  5. Figure 11.4 Optimum binary threshold detection.

  6. Figure 11.5 Realization of the optimum binary threshold detector.

  7. Figure 11.6 (a) Optimum threshold detector and (b) its error probability for polar signaling.

  8. Figure 11.7 Examples of orthogonal signals.

  9. Figure 11.8 Digital modulated waveforms.

  10. Figure 11.9 Coherent detection of digital modulated signals.

  11. Figure 11.10 Optimum coherent detection of binary FSK signals.

  12. Figure 11.11 (a) The minimum of the sinc function and (b) the MSK spectrum.

  13. Figure 11.12 Signals and their representation in signal space.

  14. Figure 11.13 Geometrical representation of a Gaussian random process.

  15. Figure 11.14 M-ary communication system.

  16. Figure 11.15 Effect of Gaussian channel noise on the received signal.

  17. Figure 11.16 Binary communication in the presence of noise.

  18. Figure 11.17 Eliminating the noise orthogonal to signal space.

  19. Figure 11.18 Optimum M-ary receiver: (a) matched filter detector; (b) correlation detector.

  20. Figure 11.19 Another form of optimum M-ary receiver: (a) correlator; (b) matched filter.

  21. Figure 11.20 Determining optimum decision regions in a binary case.

  22. Figure 11.21 Determining optimum decision regions.

  23. Figure 11.22 Decision regions for the binary case in this example.

  24. Figure 11.23 (a) Conditional PDFs in PAM. (b) Error probability in PAM.

  25. Figure 11.24 16-ary QAM.

  26. Figure 11.25 MPSK signals.

  27. Figure 11.26 Error probability of MPSK.

  28. Figure 11.27 Orthogonal signals.

  29. Figure 11.28 Error probability of orthogonal signaling and coherent MFSK.

  30. Figure 11.29 Coherent MFSK receiver.

  31. Figure 11.30 Translation and rotation of coordinate axes.

  32. Figure 11.31 Analysis of QPSK.

More Related