CDMA sparse channel estimation using a GSIC/AM algorithm for radiolocation

Abstract

This paper considers channel parameter estimation in a sparse channel environment for radiolocation. The generalized successive interference cancellation (GSIC) algorithm is used to eliminate the multiple access interference (MAI). To adapt GSIC to sparse channels the alternating maximization (AM) algorithm is considered and the continuous time delay of each path is estimated. The time-of-arrival (TOA) of the first arrival ray is treated as the line-of-sight component. The TOAs from multiple reference nodes to a master node are then used to compute master node position.