Blind Equalization

Equalization is important for the receiver of communication systems to correctly recover the symbols sent by the transmitter, because the received signals may contain interference, noises,  etc. Many real communication devices contain equalization module, such as Modems, cellular phones, digital TVs. Blind equalization is useful to cancel the repeatedly
transmitted training signals so as to improve system throughput. It is still a challenging work to find an effective, robust, computationally efficient algorithm to do blind equalization.

My research in this field began with the QR-type batch algorithm for blind channel identification and equalization. Then I switched to use linear predictions to find some computationally efficient adaptive algorithms. I am currently investigating the direct output whitening approaches.

• QRD based method
• Linear prediction based method
• Direct equalizer estimation method
• Output whitening method