Author: Joseph Hyukjoon KangPublisher:
ISBN:
Category :
Languages : en
Pages : 440
Book Description
Iterative Estimation and Decoding for Channels with Memory
Author: Joseph Hyukjoon KangPublisher:
ISBN:
Category :
Languages : en
Pages : 440
Book Description
Iterative Estimation, Equalization, and Decoding for Time-varying Intersymbol Interference Channels
Author: Wajahat Ullah KhanIterative Joint Decoding and Channel Estimation on a Two-state Gaussian Channel
Author: Low-density Parity-check Codes and Iterative Decoding Algorithms for Input-constrained Channels and Channels with Memory
Author: Wongkot VijacksungsithiPublisher:
ISBN:
Category :
Languages : en
Pages : 454
Book Description
Iterative Estimation and Decoding for OFDM Systems in Fast-fading Channels
Author: Taehyuk KangPublisher:
ISBN: 9781109081541
Category :
Languages : en
Pages : 308
Book Description
The proposed receivers in this dissertation leverage iterative processing. The architecture of iterative processing based on the Turbo principle can be summarized as separate estimation/detection and decoding blocks exchanging information for mutual performance improvement. Within the iterative structure, we first develop sequential and joint estimators for CFO and multipath channel coefficients. More efficient estimators are then developed for sparse channels. Finally, the optimal power allocation between pilots and data for the OFDM iterative receiver is investigated using the EXIT chart. We show that the optimal power allocation strategy can be quite different for the iterative versus non-iterative receiver. The proposed system is implemented in hardware and underwater field tests are conducted. The successful underwater test results show the effectiveness of the proposed receiver.
Applied Algebra, Algebraic Algorithms and Error-Correcting Codes
Author: Marc FossorierPublisher: Springer Science & Business Media
ISBN: 3540314237
Category : Computers
Languages : en
Pages : 348
Book Description
This book constitutes the refereed proceedings of the 16th International Symposium on Applied Algebra, Algebraic Algorithms and Error-Correcting Codes, AAECC-16, held in Las Vegas, NV, USA in February 2006. The 25 revised full papers presented together with 7 invited papers were carefully reviewed and selected from 32 submissions. Among the subjects addressed are block codes; algebra and codes: rings, fields, and AG codes; cryptography; sequences; decoding algorithms; and algebra: constructions in algebra, Galois groups, differential algebra, and polynomials.
Joint Iterative Channel and Data Estimation in High Mobility MIMO-OFDM Systems
Author: Stephan SandPublisher: Logos Verlag Berlin GmbH
ISBN: 3832523855
Category :
Languages : en
Pages : 272
Book Description
Coding and Channel Estimation for Block Fading Channels
Author: Salam A. ZummoIterative Decoding with Imperfect Channel Estimation for Wireless Systems
Author: Yibo ZhouNon-iterative Joint Decoding and Signal Processing
Author: Nitin Ashok NangarePublisher:
ISBN:
Category :
Languages : en
Pages :
Book Description
A non-iterative receiver is proposed to achieve near capacity performance on intersymbol interference (ISI) channels. There are two main ingredients in the proposed design. i) The use of a novel BCJR-DFE equalizer which produces optimal soft estimates of the inputs to the ISI channel given all the observations from the channel and L past symbols exactly, where L is the memory of the ISI channel. ii) The use of an encoder structure that ensures that L past symbols can be used in the DFE in an error free manner through the use of a capacity achieving code for a memoryless channel. Computational complexity of the proposed receiver structure is less than that of o̲n̲e̲ iteration of the turbo receiver. We also provide the proof showing that the proposed receiver achieves the i.i.d. capacity of any constrained input ISI channel. This DFE-based receiver has several advantages over an iterative (turbo) receiver, such as low complexity, the fact that codes that are optimized for memoryless channels can be used with channels with memory, and finally that the channel does not need to be known at the transmitter. The proposed coding scheme is universal in the sense that a single code of rate r; optimized for a memoryless channel, provides small error probability uniformly across all AWGN-ISI channels of i.i.d. capacity less than r. This general principle of a proposed non-iterative receiver also applies to other signal processing functions, such as timing recovery, pattern-dependent noise whitening, joint demodulation and decoding etc. This makes the proposed encoder and receiver structure a viable alternative to iterative signal processing. The results show significant complexity reduction and performance gain for the case of timing recovery and patter-dependent noise whitening for magnetic recording channels.