Decoding channel coded higher-order QAM signals over Gaussian and Rayleigh fading channels Public Deposited

http://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/gm80hx762

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  • In modern digital communication systems, error correction codes (ECC) are widely used and play an important role. The main effect of ECCs is to reduce the transmission error caused by channel noise, thereby protecting data and increasing the quality of information transmission. In addition, high spectral efficiency is desired in recent and future communication systems. In order to achieve the maximum spectral efficiency, higher-order modulation schemes were chosen in this thesis. However, for given bandwidth, higher-order modulations are very sensitive to noise and channel conditions. Channel coding was applied to decrease the data distortion brought by higher-order modulation schemes, and a coding rate close to 1 is highly preferred to ensure high spectral efficiency. We designed several system combinations of different modulation schemes, coding rates, decoders and channels to compare the required Eb/N0 (SNR) to achieve the same spectral efficiency and target BER. As a conclusion which we verified in this thesis, MAP decoder is the optimal decoder, especially when higher coding rate is applied with higher-order QAM with worse channel conditions.
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  • description.provenance : Made available in DSpace on 2014-07-22T23:15:57Z (GMT). No. of bitstreams: 1 YangYun2014.pdf: 46678827 bytes, checksum: c681babc7cf4ac290f88cf7dd2032bca (MD5) Previous issue date: 2014-06-10
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  • description.provenance : Rejected by Julie Kurtz(julie.kurtz@oregonstate.edu), reason: Rejecting to change the commencement date on the bottom of the title page to read - Commencement June 2015. Everything else looks good. Once revised log back into ScholarsArchive and go to the upload page. Replace the attached file with the revised file and resubmit. Thanks, Julie on 2014-07-07T17:06:47Z (GMT)
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  • description.provenance : Approved for entry into archive by Julie Kurtz(julie.kurtz@oregonstate.edu) on 2014-07-08T20:58:51Z (GMT) No. of bitstreams: 1 YangYun2014.pdf: 46678827 bytes, checksum: c681babc7cf4ac290f88cf7dd2032bca (MD5)

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