A Passive DOA Estimation Algorithm of Underwater Multipath Signals via Spatial Time-Frequency Distributions

Han, Xueyan; Liu, Meiqin; Zhang, Senlin; Zheng, Ronghao; Lan, Jian

doi:10.1109/tvt.2021.3064279

Cited by 18 publications

(9 citation statements)

References 45 publications

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“…The direction-of-arrival (DOA) estimation in array signal processing has become an important research direction in the military and civilian fields, including radar, sonar, wireless communication, and underwater positioning [1][2][3][4][5][6]. In recent years, P. Val and P. P. Vaidyanathan proposed a nested array [7], the structure of which is composed of two uniform linear arrays nested together.…”

Section: Introductionmentioning

confidence: 99%

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Cai

Hong

et al. 2023

Electronics Letters

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Coprime array can provide high degrees of freedom by using difference-sum co-array under the same physical sensors, and can estimate the source under uncertain conditions. A special coprime array structure is proposed in this paper. Its difference-sum co-array can improve the degrees of freedom. Finally, the proposed array structure estimation is used for direction-of-arrival. Simulation results and analysis show that the proposed array structure can effectively improve the accuracy of direction-of-arrival estimation. Under the same signal-tonoise ratio and snapshot number, it has lower root mean square error and higher estimation accuracy than other methods.

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Section: Introductionmentioning

confidence: 99%

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Cai

Hong

et al. 2023

Electronics Letters

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“…Wigner–Ville distribution (WVD)-based methods [ 9 , 10 ] possess a good estimation performance but suffer from the cross terms between multiple targets [ 11 ]. Spatial time–frequency distribution (STFD)-based methods [ 12 , 13 ] can directly exploit the nonstationarity information of LFM signals but are highly dependent on time–frequency point selection [ 12 ]. Matched filtering (MF)-based methods [ 14 , 15 ] possess a high noise resistance by treating MF as pre-processing or post-processing of beamforming.…”

Section: Introductionmentioning

confidence: 99%

Deconvolved Fractional Fourier Domain Beamforming for Linear Frequency Modulation Signals

Liu

Tao

Sun

et al. 2023

Sensors

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To estimate the direction of arrival (DOA) of a linear frequency modulation (LFM) signal in a low signal-to-noise ratio (SNR) hydroacoustic environment by a small aperture array, a novel deconvolved beamforming method based on fractional Fourier domain delay-and-sum beamforming (FrFB) was proposed. Fractional Fourier transform (FrFT) was used to convert the received signal into the fractional Fourier domain, and delay-and-sum beamforming was subsequently performed. Noise resistance was acquired by focusing the energy of the LFM signal distributed in the time–frequency domain. Then, according to the convolution structure of the FrFB complex output, the influence of the fractional Fourier domain complex beam pattern was removed by deconvolution, and the target spatial distribution was restored. Therefore, an improved spatial resolution of DOA estimation was obtained without increasing the array aperture. The simulation and experimental results show that, with a small aperture array at low SNR, the proposed method possesses higher spatial resolution than FrFB and frequency-domain deconvolved conventional beamforming.

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“…Direction of Arrival (DOA) estimation, as an important and concerned research branch in array signal processing, has been widely exploited in various fields such as radar, communication, and sonar [1][2][3][4]. Many DOA estimation algorithms are based on narrowband received signal model, such as multiple signal classification (MUSIC) [5] and estimation of signal parameter via rotational invariance techniques (ESPRIT) [6].…”

Section: Introductionmentioning

confidence: 99%

Direction‐of‐arrival estimation for wideband linear frequency modulated signals with weighted l₁‐norm in the fractional Fourier domain

Zhong

Chen

Peng

et al. 2023

IET Radar Sonar & Navi

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Direction‐of‐arrival (DOA) estimation methods for wideband linear frequency modulated (LFM) signals based on fractional Fourier transform (FRFT) typically use the single snapshot vector in the fractional Fourier (FRF) domain. However, the low‐rank problem of the second‐order statistics in the single snapshot vector can decrease the DOA estimation resolution and cause issues in DOA estimation for coherent sources. In order to address these problems, a weighted l1‐norm method based on FRFT is proposed. The proposed method utilises the energy aggregation property of FRFT for LFM signals. This allows for obtaining a single snapshot vector in the FRF domain. Subsequently, a sparse representation DOA estimation model is established by taking advantage of the sparsity of the target distribution in the spatial domain. The DOA estimation is then obtained by minimising the l1‐norm. To further enhance the DOA estimation performance, we construct a matrix by rearranging the elements of the eigenvectors corresponding to the nonzero eigenvalue of the covariance matrix in the FRF domain. The rank of this matrix is equal to the number of sources, ensuring the orthogonality of the subspace obtained by the reconstructed matrix. Finally, a weighted matrix is constructed by exploiting the subspace orthogonality principle to adjust the sparsity penalty of the l1 constraint model. Simulation results demonstrate that our method is capable of achieving high angular resolution and accuracy even at low SNR and can process coherent signals directly.

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A Passive DOA Estimation Algorithm of Underwater Multipath Signals via Spatial Time-Frequency Distributions

Cited by 18 publications

References 45 publications

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Deconvolved Fractional Fourier Domain Beamforming for Linear Frequency Modulation Signals

Direction‐of‐arrival estimation for wideband linear frequency modulated signals with weighted l₁‐norm in the fractional Fourier domain

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A Passive DOA Estimation Algorithm of Underwater Multipath Signals via Spatial Time-Frequency Distributions

Cited by 18 publications

References 45 publications

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Direction‐of‐arrival estimation based on difference‐sum co‐array of a special coprime array

Deconvolved Fractional Fourier Domain Beamforming for Linear Frequency Modulation Signals

Direction‐of‐arrival estimation for wideband linear frequency modulated signals with weighted l1‐norm in the fractional Fourier domain

Contact Info

Product

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About

Direction‐of‐arrival estimation for wideband linear frequency modulated signals with weighted l₁‐norm in the fractional Fourier domain