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Joint Source-Channel Coding using Trellis Coded CPM

Zihuai Lin (Institutionen för data- och informationsteknik, Datorteknik (Chalmers))
Göteborg : Chalmers University of Technology, 2005. ISBN: 91-7291-708-3.- 148 s.
[Doktorsavhandling]

The thesis investigates Joint Source and Channel Coding (JSCC) using combined Trellis Coded Quantization (TCQ) and coded modulation. First we investigate a JSCC scheme using combined TCQ/Trellis Coded CPM (TCQ/TCCPM). Based on the BCJR algorithm for trellis coded CPM, we derive an optimal soft decoding algorithm for the considered systems. Analytical bounds on the channel distortion for jointly designed TCQ/TCCPM systems with maximum likelihood sequence detection are derived. These bounds are based on the transfer function technique, which has been modified and generalized to analog signals in discrete time for our purpose. This work provides an analysis tool to estimate the performance for a given combined TCQ/TCCPM system. The analysis method is very general, and may be applied to any trellis based JSCC scheme. Next, we develop an iterative decoding approach to JSCC using serially concatenated TCQ/CPM. This iterative procedure exploits the structure of the TCQ encoder and the continuous phase modulator. A new trellis quantization scheme based on punctured ring convolutional codes is also proposed. It is demonstrated that the new trellis source encoding scheme is superior to conventional Trellis Coded Vector Quantization (TCVQ) scheme of the same complexity. Furthermore, an adaptive JSCC scheme using the combined new trellis quantization scheme with CPM is investigated. The decoding algorithm is based on the BCJR algorithm for punctured ring convolutional coded CPM. An iterative decoding approach to the above mentioned adaptive JSCC scheme is also developed. The performance is analyzed by using the extrinsic information transfer chart.

Nyckelord: Joint source channel coding, trellis coded quantization, continuous phase modulation, turbo trellis coded modulation, soft decoding, iterative decoding,turbo codes,serially concatenated CPM,ring convolutional coded CPM, punctured ring convolutional codes.



Denna post skapades 2006-01-19. Senast ändrad 2013-09-25.
CPL Pubid: 11305

 

Institutioner (Chalmers)

Institutionen för data- och informationsteknik, Datorteknik (Chalmers)

Ämnesområden

Elektroteknik

Chalmers infrastruktur

Examination

Datum: 2006-01-13
Tid: 13.15
Lokal: 13.15 HC1, Hörsalsvägen 14, Chalmers
Opponent: Professor Stephen G Wilson, Department of Electrical and Computer Engineering, University of Virginia, USA

Ingår i serie

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie 2390


Technical report D - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University 12