Guojin Wan

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This paper reports on a novel method that analyses signals' M<sup>th</sup> power spectrum to classify the modulation type of MPSK signals without carrier and symbol synchronization. Whether signals through the filter or not makes no difference to this method and the multi-path effect has less influence on it. Simulations show that the correct recognition(More)
Abstract-General Volterra series based models have been succ-essfully applied for radio frequency (RF) power amplifier behave-oral modeling, but their high complexity tends to limit their applications to "weakly" nonlinear systems. To model a soft-defined shortwave PA with strong nonlinearities and long memory effects, we propose a memory polynomial model(More)
In this paper, we present a novel algorithm based on partial transmit sequence (PTS) to reduce the peak-to-average power ratio (PAPR) of multicarrier communication systems. A sub-optimal phase factor is presented to reduce the PAPR. The proposed scheme the proposed algorithm shows similar PAR reduction performance and low computational complexity as(More)
A New Multi-Modulus Blind Equalization Algorithm for QAM Signals is proposed in this paper. The algorithm uses Multi-Modulus technique in dual-mode based on Square Divided Regions (MMSDR) for initial convergence during blind startup. After the eye diagram is open, the Directed Decision (DD) Algorithm is used which helps to accelerate convergence rate and(More)
Abstract-Shortwave power amplifiers (PAs) are nonlinearization and their features are changed with many kinds of factors such as the temperature of environmental, electrical aging, at the same time they have strong memory effection. In this paper, an indirect learning architecture and digital pre-distortion have been adopted, MDS algorithm applied in(More)
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