Wideband DOA estimation based on a-shaped array

Shi, Juan; Zhang, Qunfei; Wang, Yue

doi:10.1109/icspcc.2017.8242605

Cited by 6 publications

(7 citation statements)

References 9 publications

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“…The key point of CSM is to design focusing matrices

, whose purpose are to transform the manifold matrices at frequencies

to that at the pre-selected reference frequency

as follows [ 32 ]

where

denotes the virtual array manifold matrix at the referenced frequency

. Note that rotational signal subspace (RSS) method is a well known way of CSM [ 13 ], whose focusing matrices

are gained through minimizing a Frobenius norm of the obtained virtual array manifold errors

where

should be a unitary matrix, yielding [ 33 ]

…”

Section: Wideband Signal Processing Using Virtual Arraymentioning

confidence: 99%

“…Among the classical wideband processing algorithms, the incoherent signal subspace method (ISM) can only deal with uncorrelated signal, which averages over the results of all frequency bins as the final fuse result. Alternatively, the coherent signal subspace method (CSM), whose main idea is to collect the averaged array covariance matrix by the focusing technique, not only can handle both uncorrelated and correlated signals, but also improves DOA estimation performance [ 13 ].…”

Section: Introductionmentioning

confidence: 99%

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Underdetermined DOA Estimation for Wideband Signals via Focused Atomic Norm Minimization

Shi

Zhang

Tan

et al. 2020

Entropy

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In underwater acoustic signal processing, direction of arrival (DOA) estimation can provide important information for target tracking and localization. To address underdetermined wideband signal processing in underwater passive detection system, this paper proposes a novel underdetermined wideband DOA estimation method equipped with the nested array (NA) using focused atomic norm minimization (ANM), where the signal source number detection is accomplished by information theory criteria. In the proposed DOA estimation method, especially, after vectoring the covariance matrix of each frequency bin, each corresponding obtained vector is focused into the predefined frequency bin by focused matrix. Then, the collected averaged vector is considered as virtual array model, whose steering vector exhibits the Vandermonde structure in terms of the obtained virtual array geometries. Further, the new covariance matrix is recovered based on ANM by semi-definite programming (SDP), which utilizes the information of the Toeplitz structure. Finally, the Root-MUSIC algorithm is applied to estimate the DOAs. Simulation results show that the proposed method outperforms other underdetermined DOA estimation methods based on information theory in term of higher estimation accuracy.

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“…The key point of CSM is to design focusing matrices

, whose purpose are to transform the manifold matrices at frequencies

to that at the pre-selected reference frequency

as follows [ 32 ]

where

denotes the virtual array manifold matrix at the referenced frequency

. Note that rotational signal subspace (RSS) method is a well known way of CSM [ 13 ], whose focusing matrices

are gained through minimizing a Frobenius norm of the obtained virtual array manifold errors

where

should be a unitary matrix, yielding [ 33 ]

…”

Section: Wideband Signal Processing Using Virtual Arraymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Underdetermined DOA Estimation for Wideband Signals via Focused Atomic Norm Minimization

Shi

Zhang

Tan

et al. 2020

Entropy

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, it only works well for spherical arrays. A wideband DOA estimation technique based on the A-shaped array for underwater passive target was presented [14]. The joint use of Bayesian learning model and expectation-maximization (EM) method in frequency domain was proposed to solve wideband DOA estimation, but it may increase the amount of computational complexity [15].…”

Section: Introductionmentioning

confidence: 99%

Wideband Direction of Arrival Estimation Based on the Principal Angle Between Subspaces

Zhou¹,

Liao²,

Gan³

et al. 2018

PIER Letters

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In this paper, we propose a novel method for wideband direction of arrival (DOA) estimation. By calculating the largest principal angle between the signal subspace and the subspace spanned by the augmented array manifold, the proposed method can estimate direction of arrival of wideband signals. Unlike conventional wideband methods, it adopts a new augmented array manifold and constructs the augmented matrix entirely by processing the received signals in frequency domain. It does not require any preliminary DOA estimates or focusing matrices. Simulation results show that the proposed method exhibits satisfactory performance at medium and high signal-to-noise ratio (SNR) conditions in comparison to the existing wideband DOA estimation methods.

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“…Introduction: The direction-of-arrival (DOA) estimation is an important issue in array signal processing, which has widespread applications in source localisation for MIMO radar, sonar, communications and exploration systems [1,2]. On the other hand, wideband signal sources provide more useful information compared with narrowband counterparts, where the array phase differences are dependent not only on the DOAs of sources but also on the frequencies of wideband signals.…”

mentioning

confidence: 99%

“…where A 0 (u) is the manifold of the referenced focusing frequency f 0 . In CSM, rotational signal subspace (RSS) method is one popular way [2], whose focusing matrices are generated by minimising a Frobenius norm of the array manifold errors…”

mentioning

confidence: 99%

Wideband DOA estimation with deficient snapshots using low rank Toeplitz structure

2019

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In array signal processing, most existing direction-of-arrival (DOA) estimation methods fail to work given deficient snapshots. To solve this problem, this Letter proposes a novel wideband DOA estimation technique by utilising the sparse representation in terms of the low rank Toeplitz structure presented in uniform array geometries, followed by an enhanced MUSIC method. Specifically, each sub-band segment is first focused into the reference frequency band to collect the coherent covariance matrix even in the lack of sufficient samples. Then, the covariance matrix is denoised through a structure-based sparse reconstruction, which exploits the low rank Toeplitz structure. Finally, the DOAs is efficiently estimated via an enhanced MUSIC method. Simulation result confirms the efficacy of the proposed method that works well in MIMO and radar applications.

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Wideband DOA estimation based on a-shaped array

Cited by 6 publications

References 9 publications

Underdetermined DOA Estimation for Wideband Signals via Focused Atomic Norm Minimization

Underdetermined DOA Estimation for Wideband Signals via Focused Atomic Norm Minimization

Wideband Direction of Arrival Estimation Based on the Principal Angle Between Subspaces

Wideband DOA estimation with deficient snapshots using low rank Toeplitz structure

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