BLIND EQUALIZATION IN THE PRESENCE OF JAMMERS AND UNKNOWN NOISE - SOLUTIONS BASED ON 2ND-ORDER CYCLOSTATIONARY STATISTICS

This correspondence addresses the blind identification of a linear tim e-invariant channel using some second-order cyclostationnary statistic s. In contrast to other contributions, the case where the second-order statistics of the noise and of the jammers are totally unknown is con sidered, It is shown that the channel can be identified consistently b y adapting the so-called subspace method of Moulines et at This adapta tion is valid for fractionally spaced systems and, more interestingly, for the general systems exhibiting transmitter induced cyclostationna rity introduced by Tsatsanis and Giannakis. The new subspace method is based in both cases on a common tool, i.e., a general spectral factor ization algorithm, The identifiability conditions are specified and so me simulation examples are given.