Robust DOA Estimator Under Non-Gaussian Noise and Insufficient Sample Support

Zhang, Hongwang; Zheng, Zhi

doi:10.1007/s00034-020-01370-5

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2020

2024

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“…Dealing with signals corrupted by non-Gaussian noise, in particular impulsive and/or heavy tailed noise, is common in array signal processing [16][17][18][19][20][21][22][23][24]. Such disturbances can significantly reduce performance of techniques developed for Gaussian noise environment.…”

Section: Introductionmentioning

confidence: 99%

Estimating DOA and PPS parameters of signal received by ULA in heavy noise environment

Djurović

Simeunović

2020

Journal of Electrical Engineering

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Estimation of the direction-of-arrival (DOA) and parameters of polynomial phase signal (PPS) impinging on the uniform linear array (ULA) of sensors in heavy-tailed noise environments is considered in this paper. To estimate signal parameters, a recently proposed quasi maximum-likelihood (QML) estimator is adopted. The proposed algorithm consists of two successive steps: (1) noise influence mitigation by using the proposed normalization strategy and (2) signal parameters estimation using the DOA-QML approach. The algorithm performance is evaluated for both monocomponent and multicomponent signals.

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