Article,

A Matching Pursuit/GSIC-Based Algorithm for DS-CDMA Sparse Channel Estimation

, and .
IEEE Signal Processing Letters, (2002)

Abstract

A sparse channel estimation algorithm for multiuser environments is developed with application to time of arrival (TOA)-based radiolocation. To eliminate multiple access interference, the Generalized Successive Interference Cancellation (GSIC) algorithm is used. At each GSIC stage, the matching pursuit (MP) or least squares (LS) methods are used respectively to estimate the sparse channel. The GSIC/MP and GSIC/LS are compared via simulations and the GSIC/MP appears to provide more accurate TOA estimates.

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