Blind equalization of communication sequences based on optimization of cumulant criteria

Blind equalization draws a lot of attention. Several statistical objective functions such as kurtosis and constant modulus were based on the noise-free model and hence their ISI cancellers were sensitive to noise. In this paper, a unifying adaptive blind equalization method is proposed, which can be robust to noise than the current cumulant-based adaptive methods. Our new objective functions can be applied for wired or wireless i.i.d. communication symbols with noise. The simulation shows that our new method outperforms the kurtosis-based method when the background noise exists.