| Title |
New Multi-Stage Blind Clustering Equalizers for QAM Demodulation |
| Authors |
황유모(Hwang, Yu-Mo) ; 이중현(Lee, Jung-Hyeon) ; 송진호(Song, Jin-Ho) |
| Keywords |
blind equalization ; multi-stage ; clustering ; CCA ; DMCCA ; RBFA |
| Abstract |
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. |