Interference from other users and interference due to multi-path propagation limit the capacity of wireless communication networks. As the number of users and the demand for new services in the networks increases, co-channel interference will be a limiting factor. This paper investigates the effects of burst unsynchronized co-channel interference on the performance of a joint channel estimation and detection algorithm. Further, the paper tries to give some insight in how to add training redundancy to a data frame in order to provide robustness against unsynchronized co-channel interference. From simulations and Cramér-Rao bound calculation we find that by using distributing training information elaborately it is possible to increase the robustness against unsynchronized co-channel interferers.