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文件名称:nlsr
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A new non-linear least squares (NLS) DRSS
location estimator that uses correlated shadowing information to improve performance is
introduced. The existing maximum likelihood (ML) estimator and Cram′er Rao lower bound
(CRLB) for RSS-based localization given do not account for correlated shadowing.
location estimator that uses correlated shadowing information to improve performance is
introduced. The existing maximum likelihood (ML) estimator and Cram′er Rao lower bound
(CRLB) for RSS-based localization given do not account for correlated shadowing.
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下载文件列表
cal_corr.m
cal_dis.m
cal_disanchtonod.m
cost_fun.m
nlsr.m
posallanch.mat
cal_dis.m
cal_disanchtonod.m
cost_fun.m
nlsr.m
posallanch.mat
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