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Article Dans Une Revue IEEE Open Journal of Signal Processing Année : 2024

DOA Estimation with Nested Arrays in Impulsive Noise Scenario: An Adaptive Order Moment Strategy

Résumé

Most of the existing direction of arrival (DOA)estimation methods in impulsive noise scenario are based onthe fractional low-order moment statistics (FLOSs), such as therobust covariation-based (ROC), fractional low-order moment(FLOM), and phased fractional low-order moment (PFLOM).However, an unknown order moment parameter p needs tobe selected in these approaches, which inevitably increases thecomputational load if the optimal value of the parameter p isdetermined by a large number of Monte Carlo experiments.To address this issue, we propose the adaptive order momentfunction (AOMF) and improved AOMF (IAOMF), which areapplicable to the existing FLOSs-based methods and can also beextended to the case of sparse arrays. Moreover, we analyze theperformance of AOMF and IAOMF, and simulation experimentsverify the effectiveness of proposed methods.

Dates et versions

hal-04434609 , version 1 (02-02-2024)

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Citer

Xudong Dong, Jun Zhao, Jingjing Pan, Meng Sun, Xiaofei Zhang, et al.. DOA Estimation with Nested Arrays in Impulsive Noise Scenario: An Adaptive Order Moment Strategy. IEEE Open Journal of Signal Processing, 2024, 5, pp.493 - 502. ⟨10.1109/OJSP.2024.3360896⟩. ⟨hal-04434609⟩
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