Modified Subspace Algorithms for DoA Estimation With Large Arrays

Mestre, Xavier; Lagunas, M.A.

doi:10.1109/tsp.2007.907884

Cited by 150 publications

(168 citation statements)

References 21 publications

Supporting

Mentioning

162

Contrasting

Unclassified

Order By: Relevance

“…Among them, the multiple signal classification (MUSIC) algorithm [1,2] marks a symbolic method of the spatial spectrum estimation algorithm. In ideal conditions, MUSIC algorithm has better estimation accuracy and resolution performance and nowadays there are still a lot of scholars devoting themselves to MUSIC algorithm [3][4][5][6][7]. However, in practice, MUSIC algorithm has strict requirements with the placement of array elements, which has a great influence on DOA estimation accuracy, resolution and stability [8].…”

Section: Introductionmentioning

confidence: 99%

A Novel DOA Estimation Algorithm Using Array Rotation Technique

et al. 2014

View full text Add to dashboard Cite

Abstract:The performance of traditional direction of arrival (DOA) estimation algorithm based on uniform circular array (UCA) is constrained by the array aperture. Furthermore, the array requires more antenna elements than targets, which will increase the size and weight of the device and cause higher energy loss. In order to solve these issues, a novel low energy algorithm utilizing array base-line rotation for multiple targets estimation is proposed. By rotating two elements and setting a fixed time delay, even the number of elements is selected to form a virtual UCA. Then, the received data of signals will be sampled at multiple positions, which improves the array elements utilization greatly. 2D-DOA estimation of the rotation array is accomplished via multiple signal classification (MUSIC) algorithms. Finally, the Cramer-Rao bound (CRB) is derived and simulation results verified the effectiveness of the proposed algorithm with high resolution and estimation accuracy performance. Besides, because of the significant reduction of array elements number, the array antennas system is much simpler and less complex than traditional array. OPEN ACCESSFuture Internet 2014, 6 156

show abstract

Section: Introductionmentioning

confidence: 99%

A Novel DOA Estimation Algorithm Using Array Rotation Technique

et al. 2014

View full text Add to dashboard Cite

show abstract

“…Among various methods, subspacebased methods [7][8][9][10] have received widely attention because of their relatively high resolution and computational simplicity. However, all subspace-based algorithms need the exact number of sources to separate signal subspace and noise subspace.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, it is common to find scenarios of snapshot deficient and low SNR in practical engineering. In this case, the spatial spectrums [8][9][10] which exploit noise and signal subspaces information simultaneously have better resolution and higher robustness performance than MUSIC-class algorithms. At the same time, these methods require more accurate information of the source number than the MUSIC algorithm.…”

Section: Introductionmentioning

confidence: 99%

A High Resolution Doa Estimating Method Without Estimating the Number of Sources

Zhou¹,

Gao²,

Wang³

2012

PIER C

View full text Add to dashboard Cite

Abstract-The performance of high resolution subspace-based algorithms are particularly sensitive to the prior information of the source number, the Signal-to-Noise Ratio (SNR) and the snapshot. Although the existing direction-of-arrival (DOA) estimation methods without estimating the source number could eliminate the awful impact brought by incorrect source number estimation, yet its performance would get deteriorated by small snapshots and low SNR. Methods which exploit noise and signal subspaces information simultaneously, such as SSMUSIC, could provide a high resolution performance in such nonideal circumstances. However, its performance would degrade severely when the prior information of the source number is incorrect. To provide a DOA estimation method without estimating the number of source, which has a high resolution performance in small sample and low SNR scenario, using all information spreads in eigenvalues and eigenvectors, this paper reconstructs a new spatial spectrum which is very similar to the SSMUSIC algorithm. In order to enhance the robustness of the new method, we provide an empirical method to modify the eigenvalues to prohibit the spreading of noise eigenvalues caused by snapshot deficient and low SNR. To verify the validity of the new method, comparisons with other algorithms are made in computer simulations and the measured data test.

show abstract

“…When the spatial separation between two close signals is smaller than the nominal array resolution (corresponding to the Rayleigh resolution limit of conventional beamforming), we need to find high resolution methods to enable incident signal individual identified. Among those high resolution DOA estimation methods, subspace-based methods [4][5][6] such as MUSIC (Multiple Signal Classification), SSMUSIC (Signal Subspace Scaled MUSIC) have received wide attention because of their relatively high resolution and computational simplicity. In the ideal environment, the estimation variance of MUSIC has been shown to converge asymptotically to Cramer-Rao lower bound as the number of snapshot increases [7].…”

Section: Introductionmentioning

confidence: 99%

“…Different from other methods which focus on improving the calibration performance [15][16][17], source number estimating accuracy [8][9][10][11] and resolution of close signals in the snapshot deficient scenario [5,6], our purpose is to develop methods with high resolution and robustness in the presence of unknown source number, array error, snapshot deficient and low SNR. In [20], we have developed a simple but high resolution DOA estimating method with unknown source number, suitable for the snapshot deficient and low SNR scenario.…”

Section: Introductionmentioning

confidence: 99%

Modified Doa Estimation Methods With Unknown Source Number Based on Projection Pretransformation

Zhou¹,

Gao²,

Wang³

et al. 2012

PIER B

View full text Add to dashboard Cite

Abstract-In this paper, our purpose is to develop methods that have high resolution and robustness in the presence of unknown source number, array error, snapshot deficient, and low SNR. The DOA (Direction-Of-Arrival) estimation with unknown source number methods referred as MUSIC-like and SSMUSIC-like methods have shown high resolution in the snapshot deficient and low SNR scenario. However, they need to take several times of fine search on the full space, which bring about high computational complexities. Thus, modified methods are proposed to reduce computational complexities and improve performances further. In the modified methods, we priori use conventional beamforming to get the rough distribution of signals' angle, which helps to reduce computational complexity and connect the technique of projection pretransformation. Then through projection pretransformation, original methods are further simplified and improved. As demonstrated in computer simulations, the modified DOA estimation with unknown source number methods shows not only higher resolution in the snapshot deficient and lower SNR scenario, but also more robustness against array errors. Although the proposed methods cannot replace the array calibration completely, they reduce the requirement of calibration accuracy. Combined with these advantages, it has been shown that the new methods are more suitable in engineering.

show abstract

Modified Subspace Algorithms for DoA Estimation With Large Arrays

Cited by 150 publications

References 21 publications

A Novel DOA Estimation Algorithm Using Array Rotation Technique

A Novel DOA Estimation Algorithm Using Array Rotation Technique

A High Resolution Doa Estimating Method Without Estimating the Number of Sources

Modified Doa Estimation Methods With Unknown Source Number Based on Projection Pretransformation

Contact Info

Product

Resources

About