Efficient decision feedback equalizer for sparse multipath channels
This paper addresses the problem of blind channel equalization in the context of digital communications. Recent results have shown that certain operations applied to the source signal at the transmitter help in the blind identification and equalization of the channel at the receiver. For example, cyclostationarity is induced by multiplying the baseband data signal with a periodic sequence. Here, the baseband data signal is multiplied with a chirp sequence. Exploiting certain structural properties arising from this operation, a simple and fast converging algorithm is obtained for estimating the equalizer coefficients. The algorithm is deterministic, i.e. it provides optimal equalizer settings using finite data in the noiseless case.