  Well-known methods are employed to localize mobile station (MS) using line of
sight (LOS) measurements. These methods may result in large error if they are
fed with non LOS (NLOS) measurements. Our proposed algorithm, referred to as
Sparse Recovery of NLOS using IMAT (SRNI), considers NLOS as unknown variables
and solves the resultant underdetermined system emphasizing on its sparsity
feature based on IMAT methods. Simulations are conducted to investigate the
performance of SRNI in comparison of other conventional algorithms. Results
demonstrate that SRNI is fast enough to deal with large combination of BSs and
also accurate in lower number of BSs
