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Unformatted text preview: 95): 29-39.
 D. Divsalar, S. Dolinar, F. Pollara, R.J. McEliece. “Transfer Function Bounds on the
Performance of Turbo Codes.” TDA Progress Report 42-122, April-June 1995 (August
15, 1995): 44-55. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-122/122A.pdf>
 S. Dolinar, D. Divsalar, and F. Pollara . “Code Performance as a Function of Block
Size.” TMO Progress Report 42-133, January-March 1998 (May 15, 1998): 1-23.
 C. Berrou, A. Glavieux, and P. Thitimajshima. “Near Shannon Limit Error-Correcting
Coding and Decoding: Turbo codes." Proceedings of IEEE International Conference
on Communications, 1064-1070. Geneva: IEEE, 1993.
 S. Benedetto et al. “Soft-Output Decoding Algorithms in Iterative Decoding of Turbo
Codes.” TDA Progress Report 42-124, October-December 1995 (February 15, 1996):
 S. Benedetto et al. “A Soft-Input Soft-Output Maximum A Posteriori (MAP) Module to
Decode Parallel and Serial Concatenated Codes.” TDA Progress Report 42-127, JulySeptember 1996 (November 15, 1996): 1-20.
 J. Hamkins and D. Divsalar. “Coupled Receiver-Decoders for Low Rate Turbo
Codes.” Proceedings of IEEE Inernational Symposium on Information Theory, 381–
381. Geneva: IEEE, 2003.
 A. J. Viterbi and J. K. Omura. Principles of Digital Communication and Coding. New
York: McGraw-Hill, 1979.
 I. Reed and G. Solomon. “Polynomial Codes Over Certain Finite Fields.” SIAM
Journal on Applied Mathematics 8 no. 2: 300-304. CCSDS 130.1-G-1 Page 1-3 June 2006 TM SYNCHRONIZATION AND CHANNEL CODING —SUMMARY OF CONCEPT AND RATIONALE  R. J. McEliece and L. Swanson. “On the Decoder Error Probability for Reed-Solomon
Codes.” TDA Progress Report 42-84, October-December 1985 (February 15, 1986):
 R. J. McEliece. “The Decoding of Reed-Solomon Codes.” TDA Progress Report 4295, July-September 1988 (November 15, 1988): 153-157.
 G. D. Forney, Jr.. “The Viterbi algorithm.” Proceedings of the IEEE 61 (1973): 268278.
 G. D. Forney, Jr. Concatenated Codes. Cambridge: MIT Press, 1966.
 R. L. Miller, L. J. Deutsch, and S. A. Butman. On the Error Statistics of Viterbi
Decoding and the Performance of Concatenated Codes. JPL Publication 81-9.
Pasadena, California: Jet Propulsion Laboratory, September 1, 1981.
 K.-M. Cheung and S. J. Dolinar, Jr. “Performance of Galileo’s Concatenated Codes
With Nonideal Interleaving.” TDA Progress Report 42-95, July-September 1988
(November 15, 1988): 148-152. <http://tmo.jpl.nasa.gov/tmo/progress_report/4295/95N.PDF>
 D. Divsalar. “A Simple Tight Bound on Error Probability of Block Codes with
Application to Turbo Codes.” TMO Progress Report 42-139, July-September 1999
(November 15, 1999): 1-35. <http://tmo.jpl.nasa.gov/tmo/progress_report/42139/139L.pdf>
 R. Garello, P. Pierleoni, and S. Benedetto. “Computing the Free Distance of Turbo
Codes and Serially Concatenated Codes with Interleavers: Algorithms and
Applications.” Journal on Selected Areas in Communications 19, no. 5 (May 2001):
 L. Deutsch, F. Pollara, and L. Swanson. “Effects of NRZ-M Modulation on
Convolutional Codes Performance.” TDA Progress Report 42-77, January-March 1984
(May 15, 1984):
 Gian Paolo Calzolari, et al. “Turbo Code Applications on Telemetry and Deep Space
Communications.” In Turbo Code Applications: A Journey from a Paper to
Realization, edited by Keattisak Sripimanwat, 321-344. Dordrecht: Springer, 2005.
The latest issues of CCSDS documents may be obtained from the CCSDS Secretariat at the
address indicated on page i. CCSDS 130.1-G-1 Page 1-4 June 2006 TM SYNCHRONIZATION AND CHANNEL CODING —SUMMARY OF CONCEPT AND RATIONALE 2
2.1 OVERVIEW OF CCSDS TELEMETRY SYSTEM
INTRODUCTION The purpose of a telemetry system is to reliably and transparently convey measurement
information from a remotely located data generating source to users located in space or on
Earth. Typically, data generators are scientific sensors, science housekeeping sensors,
engineering sensors and other subsystems on-board a spacecraft.
The advent of capable microprocessor based hardware will result in data systems with
demands for greater throughput and a requirement for corresponding increases in spacecraft
autonomy and mission complexity. These facts, along with the current technical and fiscal
environments, create a need for greater telemetering capability and efficiency with reduced
In the past, most of the telemetry resources used by a science mission have been wholly
contained within a cognizant Project office and, with the exception of the tracki...
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