Journal of South China University of Technology (Natural Science Edition) ›› 2013, Vol. 41 ›› Issue (1): 52-57,69.doi: 10.3969/j.issn.1000-565X.2013.01.008

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

Representation of Multi-h CPM Signals Through Finite-StateSequential Machine

Zhong Sheng1 Zhang Jian1 Yang Chun1 Wang Peng1 Liu Lu2   

  1. 1. Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang 621900, Sichuan, China;2. School of Electronic Science and Engineering, National University of Defense and Technology, Changsha 410073, Hunan, China
  • Received:2012-06-11 Revised:2012-09-21 Online:2013-01-25 Published:2012-12-03
  • Contact: 钟声(1981-),男,博士生,主要从事遥测遥控与Multi-h CPM 技术研究. E-mail:zhongsheng0621@163.com
  • About author:钟声(1981-),男,博士生,主要从事遥测遥控与Multi-h CPM 技术研究.
  • Supported by:

    国家自然科学基金-中物院NASF 联合基金资助项目(10876103)

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Abstract:

In order to acquire more compact form of PAM (Pulse Amplitude Modulation) decomposition of Multi-hCPM (Continuous Phase Modulation) signals, a novel algorithm to represent Multi-h CPM signals through a finite-state sequential machine (SM) is presented. In this algorithm, based on the periodically varying modulation index,Multi-h CPM signals are represented as the cascade of a periodically time-invariant (PTI) finite-state SM and abank of PTI PAM modulator via the basic waveform decomposition. Then, the state transition process is describedas a reducible and cyclostationary non-homogenous Markov chain by defining even input alphabet ary. The processof state transition with different modulation indexes is validated through some examples, and the model of optimal re-ceiver as well as the simulation results is presented. As compared with the conventional optimal detection algorithmbased on PAM decomposition, the proposed algorithm attains the theoretical detection performance with half numberof trellis.

Key words: multi-h continuous phase modulation, basic waveform decomposition, periodical time invariability, finite-state sequential machine, pulse amplitude modulator, Markov chain

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