Training Sequence Aided Multichannel Identi cation in the Presence of Interference and Noise
نویسندگان
چکیده
In wireless communications, spatial (via antenna arrays) and temporal (excess bandwidth) diversity may be exploited to simultaneously equalize a user of interest while canceling or reducing (cochannel) interfering users (CCI). This can be done using the Interference Canceling Matched Filter (ICMF) which we introduced previously. The ICMF depends on the channel for the user of interest, to be estimated with a training sequence, and contains a blind interference cancellation part. The simulations show that signi cant improvements may result from the exploitation of the prior knowledge of the transmission pulse shape. I. PROBLEM FORMULATION Consider the linearized version of the GMSK modulation transmitted over a linear channel with additive noise. The cyclostationary received signal can be written as
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