Abstract—Most receiver algorithms based on PARATUCK2
model adopted traditional ALS methods in one way and two
hops MIMO relay communication system now days. Its low
convergence speed and high computational cost are main factors
restricting its application under real-time conditions. For the
reason, a novel blind receiver Algorithm based on
PARATUCK2 model is proposed based on works of building
one way and two hops MIMO relay communication system.
Firstly, the algorithm adds received data a time dimensionality
on the premise of no supervise sequence, then chooses truncated
window reasonable, creates iteration relationship between
auxiliary matrix and base matrix of right subspace, corrects the
channel parameter adaptively, and make it closer to true
parameters in least error square sense. Computational cost of
the algorithm is reduced by avoiding Moore Penrose
pseudo-inverse operation efficiently through tracking and
iterating the singular of matrix. The algorithm also improves
convergence speed by utilizing the estimated result of previous
moment. Simulation result shows that the algorithm has lower
computational cost, higher convergence speed than PT2-ALS,
and the same estimation performance with ALS premised on
that no supervised sequence added.
Index Terms—MIMO, relay system, semi-blind,
PARATUCK2, ALS.
The authors are with Naval Aeronautical Engineering Institute, Yantai,
264001, China (e-mail:sinoeagle2008@gmail.com).
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Cite: Wang Rui, Rui Guo-Sheng, Zhang Yang, and Xue Peng, "A Novel Semi-blind Receiver Algorithm Based on PARATUCK2 Model in MIMO Relay Communication System," International Journal of Future Computer and Communication vol. 5, no. 6, pp. 214-221, 2016.