Sorting Batch Decision Nonlinear Blind Equalization Algorithm Based on Clustering and Amplifier Characteristics

摘要

In satellite communication, the signal will be affected by the nonlinearity brought by the high-power amplifier (HPA) and the inter-code crosstalk brought by the communication system, resulting in signal distortion. This paper proposes a nonlinear blind equalization algorithm and its application framework based on clustering algorithm and amplifier characteristics in the constellation symbol point domain aims to eliminate these effects. Firstly, clustering center of constellation points. Secondly, correcting the nonlinearity by sorting batch decision. Finally, linear adaptive equalizer eliminates the inter-code crosstalk which mainly uses FIR structure and LMS optimization algorithm. We perform algorithm simulation on the data generated by the actual modulator and demodulator, and the implementation shows that this algorithm can effectively reduce the time complexity of the algorithm, expand the range of symbols phase distortion and be simply applied.