The Journal of China Universities of Posts and Telecommunications ›› 2022, Vol. 29 ›› Issue (6): 64-72.doi: 10.19682/j.cnki.1005-8885.2022.1003

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Low-complexity detection based on maximum cumulative measure and Laurent decomposition for multi-h CPM signal

Zheng Zhidong, Yu Yanming, Liu Ning, Yuan Honggang, Lou Ning   

  1. Institute of Systems Engineering, Academy of Military Sciences, Beijing 100082, China
  • Received:2021-02-20 Revised:2021-07-16 Online:2022-12-30 Published:2022-12-30

Abstract: In order to solve the problem of high computational complexity in demodulation for multi-h continuous phase modulation (CPM) signal, a maximum cumulative measure combing with the Laurent decomposition (MCM-LD) scheme is proposed to reduce the number of the grid states and the required number of matched filters, which degrades the demodulation complexity at the receiver. The advanced range telemetry (ARTM) Tier 2 CPM signal is adopted to evaluate the performance in simulation. The results show that, compared with the traditional maximum likelihood sequence detection (MLSD), MCM-LD can respectively reduce the numbers of grid states and matched filters from 256 to 32 and 128 to 48 with negligible performance loss, which effectively degrades the computational complexity for multi-h CPM signal.

Key words:

multi-h continuous phase modulation ( CPM), Laurent decomposition ( LD), maximum cumulative measure ( CM ), low-complexity


CLC Number: