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Turbo Coding in Correlated Fading Channels

Turbo Coding in Correlated Fading Channels PDF Author: Danielle Ayodele Hinton
Publisher:
ISBN:
Category :
Languages : en
Pages : 94

Book Description


Turbo Coding in Correlated Fading Channels

Turbo Coding in Correlated Fading Channels PDF Author: Danielle Ayodele Hinton
Publisher:
ISBN:
Category :
Languages : en
Pages : 94

Book Description


Avoiding Cycles in Combined Turbo Decoding and Channel Estimation for Correlated Fading Channels

Avoiding Cycles in Combined Turbo Decoding and Channel Estimation for Correlated Fading Channels PDF Author: Eirik Rosnes
Publisher:
ISBN:
Category : Coding theory
Languages : en
Pages : 44

Book Description


Performance of Latency Constrained Turbo-like Codes Over Correlated Fading Channels

Performance of Latency Constrained Turbo-like Codes Over Correlated Fading Channels PDF Author: Hamid Mahvidi
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

Book Description
The problem of interleaving transmitted symbols over fading channels is investigated. Clarke's model is used to simulate a correlated flat fading channel. The performance of block interleaved convolutional codes is studied in terms of bit and word interleavers and their equivalent super channels. It is shown that a bit interleaved channel can be represented in terms of a super channel of equivalent Doppler spread. Performance of various interleaved convolutional codes is compared to those of non-interleaved turbo-like codes in a correlated fading environment. Simulation results indicate that under stringent delay constraints such as voice communications, interleaved convolutional codes outperform turbo-like codes. However at more relaxed delay constraints of a few thousand bits, non-interleaved turbo-like codes are capable of outperforming convolutional codes.

Performance of Latency Constrained Turbo-like Codes Over Correlated Fading Channels

Performance of Latency Constrained Turbo-like Codes Over Correlated Fading Channels PDF Author:
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Turbo Coding, Turbo Equalisation and Space-Time Coding for Transmission over Fading Channels

Turbo Coding, Turbo Equalisation and Space-Time Coding for Transmission over Fading Channels PDF Author: Lajos L. Hanzo
Publisher: Wiley-IEEE Press
ISBN: 9780470847268
Category : Technology & Engineering
Languages : en
Pages : 766

Book Description
Turbo coding has opened an exciting new chapter in the design of iterative detection assisted communication systems. Similar dramatic advances have been achieved with the advent of space time coding, when communicating over dispersive fading wireless channels. By assuming no prior knowledge in the field of channel coding, the authors provide a self-contained reference on these stimulating hot topics, concluding at an advanced level. This essential volume is divided into five key parts: 1. Convolutional and Block Coding Introduces the family of convolutional codes, hard and soft-decision Viterbi algorithms and the most prominent classes of block codes, namely Reed-Solomon (RS) and Bose-Chaudhuri-Hocquenghem (BCH) codes, as well as their algebraic and trellis-decoding. 2. Turbo Convolutional and Turbo Block Coding Introduces turbo convolutional codes and details the Maximum A-Posteriori (MAP), Log-MAP and Max-Log-MAP as well as the Soft Output Viterbi Algorithm (SOVA). Investigates the effects of the various turbo codec parameters. Studies the super-trellis structure of turbo codes and characterises turbo BCH codes. Portrays Redundant Residue Number System (RRNS) based codes and their turbo decoding. 3. Coded Modulation: TCM, TTCM, BICM, BICM-ID Studies Trellis Coded Modulation (TCM), Turbo Trellis Coded Modulation (TTCM), Bit-Interleaved Coded Modulation (BICM), Iterative BICM (BICM-ID) and compares them under various channel conditions. 4. Space-Time Block and Space-Time Trellis Coding Introduces space-time codes and studies their performance using numerous channel codecs providing guidelines for system designers. Studies Multiple-Input Multiple-Output (MIMO) based schemes and the concept of near-instantaneously Adaptive Quadrature Amplitude Modulation (AQAM) combined with near-instantaneously adaptive turbo channel coding. 5. Turbo Equalisation Covers the principle in detail, provides theoretical performance bounds for turbo equalisers and includes a study of various turbo equaliser arrangements. Also addresses the problem of reduced implementation complexity and covers turbo equalised space-time trellis codes. If you are looking for a comprehensive treatment covering both classic channel coding techniques and recent advances in this field, then this is the book for you. Researchers, practising engineers and advanced students will all find it both informative and stimulating.

Robust Lossy Source Coding for Correlated Fading Channels

Robust Lossy Source Coding for Correlated Fading Channels PDF Author: Shervin Shahidi
Publisher: LAP Lambert Academic Publishing
ISBN: 9783659192005
Category :
Languages : en
Pages : 124

Book Description
The joint source-channel coding problem for soft-decision demodulated time-correlated fading channels is investigated without the use channel coding and interleaving. Two robust lossy source coding schemes with low-encoding delay are next proposed for the NBNDC-QB. The first scheme consists of a scalar quantizer, a proper index assignment, and a sequence MAP decoder designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output and noise correlation. The second scheme is the classical noise resilient vector quantizer known as the channel optimized vector quantizer. It is demonstrated that both systems can successfully exploit the channel's memory and soft-decision information. For the purpose of system design, the recently introduced non-binary noise discrete channel with queue based noise (NBNDC-QB) is adopted. Optimal sequence maximum a posteriori (MAP) detection of a discrete Markov source sent over the NBNDC-QB is first studied. When the Markov source is binary and symmetric, a necessary and sufficient condition under which the MAP decoder is reduced to a simple instantaneous symbol-by-symbol decoder is established.

Turbo Coding for Wireless Fading Channels

Turbo Coding for Wireless Fading Channels PDF Author: Gerald Anton Roy
Publisher:
ISBN:
Category :
Languages : en
Pages : 124

Book Description


Performance and Design of Turbo Codes on Rayleigh Fading Channels

Performance and Design of Turbo Codes on Rayleigh Fading Channels PDF Author: Eric K. Hall
Publisher:
ISBN:
Category :
Languages : en
Pages : 152

Book Description


Robust Lossy Source Coding for Correlated Fading Channels

Robust Lossy Source Coding for Correlated Fading Channels PDF Author: Shervin Shahidi
Publisher:
ISBN: 9780494771488
Category :
Languages : en
Pages : 198

Book Description
Most of the conventional communication systems use channel interleaving as well as hard decision decoding in their designs, which lead to discarding channel memory and soft-decision information. This simplification is usually done since the complexity of handling the memory or soft-decision information is rather high. In this work, we design two lossy joint source-channel coding (JSCC) schemes that do not use explicit algebraic channel coding for a recently introduced channel model, in order to take advantage of both channel memory and soft-decision information. The channel model, called the non-binary noise discrete channel with queue based noise (NBNDC-QB), obtains closed form expressions for the channel transition distribution, correlation coefficient, and many other channel properties. The channel has binary input and $2^q$-ary output and the noise is a $2^q$-ary Markovian stationary ergodic process, based on a finite queue, where $q$ is the output's soft-decision resolution. We also numerically show that the NBNDC-QB model can effectively approximate correlated Rayleigh fading channels without losing its analytical tractability. The first JSCC scheme is the so called channel optimized vector quantizer (COVQ) and the second scheme consists of a scalar quantizer, a proper index assignment, and a sequence maximum a posteriori (MAP) decoder, designed to harness the redundancy left in the quantizer's indices, the channel's soft-decision output, and noise time correlation. We also find necessary and sufficient condition when the sequence MAP decoder is reduced to an instantaneous symbol-by-symbol decoder, i.e., a simple instantaneous mapping.

Turbo Coding, Turbo Equalisation and Space-Time Coding for Transmission Over Fading Channels

Turbo Coding, Turbo Equalisation and Space-Time Coding for Transmission Over Fading Channels PDF Author: Tong Hooi Liew
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description
Against the backdrop of the emerging 3G wireless personal communications standards and broadband access network standard proposals, this volume covers a range of coding and transmission aspects for transmission over fading wireless channels. It presents the most important classic channel coding issues and also the exciting advances of the last decade, such as turbo coding, turbo equalisation and space-time coding. It endeavours to be the first book with explicit emphasis on channel coding for transmission over wireless channels. Divided into 4 parts: Part 1 - explains the necessary background for novices. It aims to be both an easy reading text book and a deep research monograph. Part 2 - provides detailed coverage of turbo conventional and turbo block coding considering the known decoding algorithms and their performance over Gaussian as well as narrowband and wideband fading channels. Part 3 - comprehensively discusses both space-time block and space-time trellis coding for the first time in literature. Part 4 - provides an overview of turbo equalisations, also referred to as turbo demodulation.; The book systematically converts the lessons of Shannon's information theory into design principles applicable to practical wireless systems. It provides overall design performance studies, giving cognizance to the contradictory design requirements of bit error rate, implementational complexity, coding and interleaving delay, effective throughput, coding rate and other related systems design aspects in a comprehensive manner.