QAM 복조용 새로운 다단계 자력복구 군집형 채널등화기

New Multi-Stage Blind Clustering Equalizers for QAM Demodulation

  • 황유모 (명지대 전기정보제어공학부, 정보통신교육센타) ;
  • 이중현 (퍼스널텔레콤(주) 연구원) ;
  • 송진호 (명지대 정보제어공학과)
  • 발행 : 2000.05.01

초록

We propose two new types multi-stage blind clustering equalizers for QAM demoulation, which are called a complex classification algorithm(CCA) and a radial basis function algorithm(RBFA). The CCA uses a clustering technique based on the joint gaussian probability function and computes separately the real part and imaginary part for simple implementation as well as less computation. In order to improve the performance of CCA, the Dual-Mode CCA(DMCCA) incorporates the CCA tap-updating mode with the decision-directed(DD) mode. The RBFA reduces the number of cluster centers through three steps using the classification technique of RBF and then updates the equalizer taps for QAM demodulation. Test results on 16-QAM confirm that the proposed algorithms perform better the conventional multi-state equalizers in the senses of SER and MSE under multi-path fading channel.

키워드

참고문헌

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