New Evaluation on Correlated MRC Diversity Reception for the Detection of Signals over Wireless Fading Channels
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The performances of M-ary signals using L-branch maximum ratio combining (MRC) diversity reception in correlated Nakagami fading channels are derived theoretically. The coherent reception of M-ary differential phase shift keying (MDPSK), phase shift keying (MPSK), and quadrature amplitude modulation (MQAM) is considered. It is assumed that the fading parameters in each diversity branch are identical. The general formula for evaluating symbol error rate (SER) of M-ary signals in the independent branch diversity system is presented using the integral-form expressions. Until now, results did not extend to the various M-ary case for a coherent reception. The numerical results presented in this paper are expected to provide information for the design of radio system using M-ary modulation method for above mentioned channel environment.
Abstract
The performances of M-ary signals using L-branch maximum ratio combining (MRC) diversity reception in correlated Nakagami fading channels are derived theoretically. The coherent reception of M-ary differential phase shift keying (MDPSK), phase shift keying (MPSK), and quadrature amplitude modulation (MQAM) is considered. It is assumed that the fading parameters in each diversity branch are identical. The general formula for evaluating symbol error rate (SER) of M-ary signals in the independent branch diversity system is presented using the integral-form expressions. Until now, results did not extend to the various M-ary case for a coherent reception. The numerical results presented in this paper are expected to provide information for the design of radio system using M-ary modulation method for above mentioned channel environment.
참고문헌 (11)
- R. Bertz, "Inspection Challenges of Leadless Packages", Proc. SEMICON, pp.418~422 (2002)
- Wang, "Classification of Newspaper Image Blocks using Texture Analysis", ComputerVision, Graphics, and ImageProcessing, 4, pp.327~352 (1989)
- F. M. Wahi, "Block Segmentation and Text Extraction in Mixed Text", Image Documents, 1982, pp.22, 375~390
- S. C. Horng, "A Hybrid Classification Tree for Products of Complicated Machines in Flexible Manufacturing Systems", International Conferenceon Systems, 4, pp.3775~3780 (2005)
- R. A. Gpinath, "Maximum Likelihood Modeling with Gaussian Distributions for Classification", Proceeding of ICASSP, pp.661~664 (1998)
- F. Maselli, "Integration of Ancillary Data into a Maximum- Likelihood Classifier with Nonparametric Priors", ISPRS Journal of Photogrammetry and Remote Sensing, 50(2) (1995)
- F. Maselli, "Inclusion of Prior Probablities Derived from a Nonparametric Process into the Maximum-Likelihood Classifier", Photogrammetric Engineering & Remote Sensing, 58(2), pp.201~207 (1992)
- 한학용, "패턴인식 개론", pp.306~314 (2005)
- C. H. Wang, "Automatic Identification of Spatial Defect Patterns for Semiconductor Manufacturing", International Journal of Production Research, 44(23), pp.5169~5185 (2006)
- R. C. Gonzalez, "Digital Image Processing Using MATLAB", pp.476~506 (2004)
- Kittler, "Minimum Error Thresholding", Pattern Recognition, 19, pp.41~47 (1986)
