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By exploiting favorable characteristics of a uniform cross-array, a passive localization algorithm of narrowband sources in the spherical coordinates (azimuth, elevation and range) is proposed.Based on the properly chosen sensor outputs, we compute the third-order cyclic moment matrices, and exploit a pre-calibration technique to eliminate multiplicative noise.Then, we construct a parallel factor (PARAFAC) model, and adopt trilinear alternating least squares regression (TALS) to estimate three-dimensional (3-D) near-field parameters.The investigated algorithm is efficient in the sense that it can eliminate multiplicative noise and additive noise, provide the improved estimation accuracy, as well as avoid the parameter-pairing procedure.Simulation results are carried out to demonstrate the performance of the proposed algorithm.
By exploiting favorable characteristics of a uniform cross-array, a passive localization algorithm of narrowband sources in the spherical coordinates (azimuth, elevation and range) is proposed.Based on the proper chosen sensor outputs, we compute the third-order cyclic moment matrices, and exploit a pre-calibration technique to eliminate multiplicative noise.Then, we construct a parallel factor (PARAFAC) model, and adopt a trilinear alternating least squares regression (TALS) to estimate three-dimensional (3-D) near-field parameters. investigated algorithm is efficient in the sense that it can eliminate multiplicative noise and additive noise, provide the improved estimation accuracy, as well as avoid the parameter-pairing procedure. SIMULATION RESULTS are carried out to demonstrate the performance of the proposed algorithm.