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A data driven technique, bivariate kernel density estimator, is used to deduce the scatterer distribution in order to extract the true scatterer distribution in real mobile environment. Under the assumption of single reflection of signal, the TOA /AOA and TOA /AOD measurements are used to obtain the unknown position of the scatterers by means of a nonlinear optimization procedure under nonlinear constraints respectively; Simulation results show that the proposed method can better fit the real scatterer distribution models.
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