Joint Occlusion Detection and Phase Estimation Algorithm for Helicopter Satellite Communication

• Published in: IEEE transactions on aerospace and electronic systems Vol. 56; no. 1; pp. 687 - 697
• Main Authors: Jia, Haoge, Ni, Zuyao, Kuang, Linling, Lu, Jianhua
• Format: Journal Article
• Language: English
• Published: New York IEEE 01-02-2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive algorithms; Algorithms; Bit error rate; Blocking; Channel models; Channel state; Computer simulation; factor graph; helicopter satellite communication system (HSCS); Helicopters; Iterative decoding; Iterative methods; iterative receiver; Markov chains; Message passing; Occlusion; occlusion detection; Phase estimation; Receivers; Rotary wings; rotor blade; Rotor blades; Satellite communications; Satellites; Signal processing algorithms
• ISSN: 0018-9251; 1557-9603
• DOI: 10.1109/TAES.2019.2918015

In helicopter satellite communication systems, the received signal is blocked by the helicopter rotor blades during propagation, incurring the unstableness of traditional methods of channel estimation due to unknown channel state. To this end, a joint occlusion detection and phase estimation algorithm is proposed by factor graph in this paper. For occlusion detection to acquire channel state, the occlusion channel model is established relying on a Markov chain with a priori blocking ratio, in which the probability distribution of the channel state is calculated by the proposed message-passing algorithm. To obtain the occlusion position and update the blocking ratio, a cross-correlation method is designed. Furthermore, a joint block detection and phase estimation algorithm is developed based on the proposed occlusion detection algorithm to realize phase estimation by iterative receiver, where occlusion detection, phase estimation, and decoding are performed in turn for one turbo iteration and the result of decoding is then sent back to the occlusion detection step for the next iteration. Simulation results show that the proposed algorithm is adaptive to the dynamical change in the blocking ratio and can achieve bit error rate performance that is close to the performance bounds based on perfect channel state.