Time-of-Arrival Estimation with FLOM-MUSIC Under Impulsive Noise

Hacioglu, I.; Harmanci, F.K.; Anarım, Emin; Delic, H.

doi:10.1109/siu.2006.1659749

Cited by 2 publications

(3 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Since the MUSIC algorithm fails to effectively identify coherent signal sources, the spatial smoothing method [11] is used in the following comparison algorithms. The comparison algorithms being compared include ROC-SSMUSIC [22], FLOM-SSMUSIC [24], FLOC-SSMUSIC [27], and IN-SSMUSIC [31].…”

Section: Comparative Analysis Of Doa Estimation Performancementioning

confidence: 99%

“…Based on this theory, Mendel et al [21][22][23] proposed the robust covariation-based MUSIC (ROC-MUSIC) algorithm in combination with the idea of co-variation. In the literature [24][25][26], the FLOM-MUSIC algorithm based on the fractional lower-order moment (FLOM) was proposed. In the literature [27][28][29], a fractional lower-order cyclic MUSIC (FLOC-MUSIC) algorithm using a fractional lower-order cyclic covariance matrix was proposed.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise

Lin

Zhou

et al. 2022

Sensors

View full text Add to dashboard Cite

Due to the discontinuity of ocean waves and mountains, there are often multipath propagation effects and obvious pulse characteristics in low-altitude detection. If the conventional direction of arrival (DOA) estimation method is directly used for direction finding, it will lead to a large error. In view of serious misalignment in the DOA estimation of multipath signals under the background of impulse noise, a DOA estimation method based on spatial difference and a modified projection subspace algorithm is proposed in this paper. Firstly, the covariance matrix of the received data vector is used for spatial difference to eliminate the multipath effects of low-altitude targets. Secondly, the modified projection matrix is constructed using the signal source estimated with the least squares criterion and then used for modifying the covariance matrix, thus eliminating the cross-covariance matrices that affect the estimation accuracy. Finally, the modified covariance matrix is used for the DOA estimation of targets. Simulations show that the proposed algorithm achieves a higher accuracy in the DOA estimation of low-altitude targets than conventional algorithms under two common impulse noise models, without requiring prior knowledge of impulse noise.

show abstract

Section: Comparative Analysis Of Doa Estimation Performancementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise

Lin

Zhou

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…However, most studies on DOA estimation have been performed assuming white Gaussian conditions of ideal additive noise. As a result, many algorithms have been developed, including super-resolution DOA estimation algorithms such as Multiple Signal Classification (MUSIC) [4][5][6] and Signal Parameter Estimation Using Rotational Invariance Techniques (ESPRIT) [7][8][9]. In practical environments, many signals and noises do not exactly follow Gaussian distributions.…”

Section: Introductionmentioning

confidence: 99%

A Novel DOA Estimation Algorithm Based on Robust Mixed Fractional Lower-Order Correntropy in Impulsive Noise

Lan,

Hu,

Zhang

et al. 2024

Electronics

View full text Add to dashboard Cite

The estimation of direction of arrival (DOA) is paramount in the realm of practical array signal processing systems. Nevertheless, traditional estimation methods often rely heavily on the Gaussian noise assumption, rendering them ineffective in achieving high-precision estimates in environments plagued by strong impulsive noise. To address this challenge, this paper introduces a novel DOA estimation algorithm that leverages mixed fractional lower-order correntropy (MFLOCR) in the context of Alpha-stable distributed impulsive noise. Correntropy is used as a measure of the similarity of the signals, using a Gaussian function to smooth extreme values and provide greater robustness against impulsive noise. By utilizing diverse kernel lengths to jointly regulate the kernel function, the concept of correntropy is expanded and implemented in the fractional lower-order moment (FLOM) algorithm for received signals. Subsequently, the MFLOCR is derived by adjusting the resulting form of correntropy. Finally, an enhanced DOA estimation algorithm is proposed that combines the MFLOCR operator with the MUSIC algorithm, specifically tailored for impulsive noise environments. Furthermore, a proof of boundedness is provided to validate the effectiveness of the proposed approach in such noisy conditions. Simulation experiments confirmed that the proposed method outperforms existing DOA estimation methods in the context of intense impulsive noise, a low generalized signal-to-noise ratio (GSNR), and a smaller number of snapshots.

show abstract

Time-of-Arrival Estimation with FLOM-MUSIC Under Impulsive Noise

Cited by 2 publications

References 7 publications

The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise

The DOA Estimation Method for Low-Altitude Targets under the Background of Impulse Noise

A Novel DOA Estimation Algorithm Based on Robust Mixed Fractional Lower-Order Correntropy in Impulsive Noise

Contact Info

Product

Resources

About