On robustness against burst unsynchronized co-channel interference in semi-blind detection

Interference from other users and interference due to multipath 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 Cramer-Rao bound calculation we find that by using distributed training information elaborately it is possible to increase the robustness against unsynchronized co-channel interferers.