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Simple Signal Detection Algorithm for 4+12+16 APSK in Satellite and Space Communications

  • Lee, Jae-Yoon (Dept. of Electronics and Communications Engineering, Hanyang Univ.) ;
  • Yoon, Dong-Weon (Dept. of Electronics and Communications Engineering, Hanyang Univ.) ;
  • Hyun, Kwang-Min (Dept. of Information and Telecommunication Engineering, Gangneung-Wonju National Univ.)
  • Received : 2010.04.20
  • Accepted : 2010.05.28
  • Published : 2010.09.15

Abstract

A 4+12+16 amplitude phase shift keying (APSK) modulation outperforms other 32-APSK modulations in a nonlinear additive white Gaussian noise (AWGN) channel because of its intrinsic robustness against AM/AM and AM/PM distortions caused by the nonlinear characteristics of a high-power amplifier. Thus, this modulation scheme has been adopted in the digital video broadcasting-satellite2 European standard. And it has been considered for high rate transmission of telemetry data on deep space communications in consultative committee for space data systems which provides a forum for discussion of common problems in the development and operation of space data systems. In this paper, we present an improved bits-to-symbol mapping scheme with a better bit error rate for a 4+12+16 APSK signal in a nonlinear AWGN channel and propose a simple signal detection algorithm for the 4+12+16 APSK from the presented bit mapping.

Keywords

References

  1. Consultative Committee for Space Data Systems (CCSDS). 2003, Recommendation for Space Data System Standards: TM Synchronization and Channel Coding [CCSDS 131.0-B-1] (Washington, DC: CCSDS)
  2. Consultative Committee for Space Data Systems (CCSDS). 2007, Recommendation for Space Data System Standards: Flexible Serially Concatenated Convolutional Turbo Codes with Near-Shannon Bound Performance for Telemetry Applications [CCSDS 131.2-O-1] (Washington, DC: CCSDS)
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Cited by

  1. Simplified Soft Demapper for APSK with Product Constellation Labeling vol.11, pp.7, 2012, https://doi.org/10.1109/TWC.2012.051412.112055
  2. An efficient soft demapper for APSK signals using extreme learning machine pp.1433-3058, 2019, https://doi.org/10.1007/s00521-018-3392-6