Valenti, M.C., "Iterative detection and decoding for wireless communications," Doctoral dissertation, Va. Poly. Inst. & State University, Blacksburg, VA, July 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... few years, turbo codes have attracted considerable attention because of the large coding gains they can achieve in an additive white Gaussian noise (AWGN) channel [1] For wireless communication systems, turbo codes have also been shown to provide impressive coding gains in fading channels [2] [3], 4] In correlated Rayleigh fading channels performance can be greatly improved if outer block interleaving is used [2] 3] 4] Outer block interleaving is required because turbo encoding may not be sufficient to cope with the errors induced in a correlated fading channel, which tend to ....

.... white Gaussian noise (AWGN) channel [1] For wireless communication systems, turbo codes have also been shown to provide impressive coding gains in fading channels [2] 3] 4] In correlated Rayleigh fading channels performance can be greatly improved if outer block interleaving is used [2] [3], 4] Outer block interleaving is required because turbo encoding may not be sufficient to cope with the errors induced in a correlated fading channel, which tend to produce burst errors. Turbo codes are more effective with random errors, so the outer block interleaver is needed to break up the ....

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M. Valenti, "Iterative detection and decoding for wireless communications", PhD thesis, Virginia Polytechnic Institute and State University, July 1999

....passed to each other, to improve the output of the decoders by use of a priori information. This iterative principle gives the turbo decoder a better performance than a conventional decoder. Between the decoders, the data is (de)interleaved. More details about turbo decoding can be found in e.g. [10]. The Quality of Service (QoS) manager (see Fig. 1) determines the (current) values for the parameters of the rake and the turbo decoder making a tradeo # between the costs and the performance using the Chameleon model. The minimal requested quality is an input constraint for the QoS manager. ....

M. C. Valenti. Iterative Detection and Decoding for Wireless Communications. PhD thesis, Virginia Polytechnic Institute and State University, July 1999.

....all of the estimation was performed prior to the 0733 8716 01 10.00 2001 IEEE Fig. 1. Discrete time transmitter model. first iteration of turbo decoding. However, since turbo decoding is an iterative process, performance can be improved by re estimating the channel after each decoder iteration [14]. Iterative estimation and decoding was proposed for convolutional codes in [15] for BPSK modulated turbo codes in [4] and for QAM modulated turbo codes in [16] This paper presents a detailed study of iterative estimation and decoding of turbo codes over fading channels. In Section II, the ....

M. C. Valenti, "Iterative detection and decoding for wireless communications, " Ph.D. dissertation, Virginia Tech., Blacksburg, VA, July 1999.

....is a best case situation for the proposed distributed MUD technique (d) This is for two reasons. First the signal transmitted by any one MS will be received with equal power at all three BSs, which will lead to the best macrodiversity improvement of all possible MS placements (see Appendix D of [18] for an illustration of this property) second, the signals received at each BS Fig. 2. Performance of conventional MF reception and MUD in fully interleaved Rayleigh flat fading with K mobiles placed in the center of the cell and only one receiver used. have equal power, and thus, the near far ....

....bit error ratio (BER) quickly flattens out, reaching a BER floor of between 0.2 and 0.3. The floor rises with increasing , but in all cases is unacceptable. The performance using MUD is much improved and for high SNR approaches the performance of the single user system (derived in Appendix D of [18]) For lower SNRs, performance degrades with increasing .However, even for , performance is within 5 dB of the single user bound at low SNR (i.e. in the region ) The performance of the two macrodiversity combining techniques is shown in Fig. 3. For the matched filter results (b) the outputs ....

M. C. Valenti, "Iterative detection and decoding for wireless communications, " Ph.D., Bradley Dept. Elec. and Comp. Eng. Virginia Institute of Technology, Blacksburg, Virginia, 1999.

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Valenti, M.C., "Iterative detection and decoding for wireless communications," Doctoral dissertation, Va. Poly. Inst. & State University, Blacksburg, VA, July 1999.

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Mathew C. Valenti, "Iterative Detection and Decoding of Wireless Communications," PHD Dissertation, Virginia Polytechnic and State University, July 1999.

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M. C. Valenti. Iterative Detection and Decoding for Wireless Communications. PhD thesis, Virginia Polytechnic Institute and State University, July 1999.

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M. C. Valenti. Iterative Detection and Decoding for Wireless Communications. PhD thesis, Virginia Polytechnic Institute and State University, July 1999.

No context found.

M. C. Valenti. Iterative Detection and Decoding for Wireless Communications. PhD thesis, Virginia Polytechnic Institute and State University, July 1999.

No context found.

M. C. Valenti. Iterative Detection and Decoding for Wireless Communications. PhD thesis, Virginia Polytechnic Institute and State University, July 1999.

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