Pdf 15 d divsalar s dolinar f pollara rj mceliece

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Unformatted text preview: 95): 29-39. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-120/120D.pdf> [15] 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> [16] 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. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-133/133K.pdf > [17] 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. [18] 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): 63-87. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-124/124G.pdf> [19] 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. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-127/127H.pdf> [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. [21] A. J. Viterbi and J. K. Omura. Principles of Digital Communication and Coding. New York: McGraw-Hill, 1979. [22] 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 [23] 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): 66-72. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-84/84F.PDF> [24] R. J. McEliece. “The Decoding of Reed-Solomon Codes.” TDA Progress Report 4295, July-September 1988 (November 15, 1988): 153-157. <http://tmo.jpl.nasa.gov/tmo/progress_report/42-95/95O.PDF> [25] G. D. Forney, Jr.. “The Viterbi algorithm.” Proceedings of the IEEE 61 (1973): 268278. [26] G. D. Forney, Jr. Concatenated Codes. Cambridge: MIT Press, 1966. [27] 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. [28] 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> [29] 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> [30] 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): 800-812. [31] 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): 33-40. <http://tmo.jpl.nasa.gov/tmo/progress_report/4277/77E.PDF> [32] 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 costs. 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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