Near field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]

Çekli, SerapÇekli, ErdinçKabaoğlu, NihatCirpan, Hakan Ali2019-06-282019-06-282006014244023959781424402397https://hdl.handle.net/20.500.12469/1653https://doi.org/10.1109/SIU.2006.1659723In this paper maximum likelihood (ML) estimator is proposed for the joint estimation of the direction of arrival (DOA) and range parameters of moving sources in the near-field of the antenna array. ML estimation algorithm is presented for deterministic signal model. Recursive form of the expectation maximization (REM) algoritm is suggested for the estimation of the near-field parameters because there is not closed form solutions for the maximum likelihood functions. Moreover simulation results of the suggested algorithm are presented. © 2006 IEEE.trinfo:eu-repo/semantics/closedAccessNear field parameter estimation of moving sources with recursive expectation maximization algorithm [Yinelemeli beklenti/en büyükleme algoritması ile hareketli kaynakların yakın-alan parametrelerinin kestirimi]Conference Object200610.1109/SIU.2006.16597232-s2.0-34247160404N/AN/A