Insights Into MUSIC-Like Algorithm

Reddy, Vinod V.; Ng, Boon Poh; Khong, Andy W. H.

doi:10.1109/tsp.2013.2251337

Cited by 21 publications

(33 citation statements)

References 9 publications

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“…It was shown in [16] that the weight vector solution w is the eigenvector corresponds to the minimum eigenvalue λ min of the generalized eigenvalue problem Rw = λ(a(θ)a(θ) H + βI)w, and hence the spatial spectrum of the MUSIC-like algorithm can be obtained by P M like (θ) = 10 log 10 (1/|w H a(θ)| 2 ). The bound for β was proposed in [17] as…”

Section: Problem Formulationmentioning

confidence: 99%

“…Major contributions of this letter can be concisely summarized into three points as follows. Firstly, a geometrical interpretation of the MUSIC-like algorithm is provided as a complimentary to its theoretical counterpart which was provided in [17]. To demonstrate its robustness under different noise distributions (Gaussian and heavy-talied), the algorithm will be examined under SαS distributed noise.…”

Section: Introductionmentioning

confidence: 99%

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DIRECTIONAL ADAPTIVE MUSIC-LIKE ALGORITHM UNDER SYMMETRIC Α-Stable DISTRIBUTED NOISE

Borijindargoon¹,

Ng²

2019

PIER Letters

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An algorithm called MUSIC-like algorithm was originally proposed as an alternative method to the MUltiple SIgnal Classification (MUSIC) algorithm for direction-of-arrival (DOA) estimation. Without requiring explicit model order estimation, it was shown to have robust performance particularly in low signal-to-noise ratio (SNR) scenarios. In this letter, the working principle of a relaxation parameter β, a parameter which was introduced into the formulation of the MUSIC-like algorithm, is provided based on geometrical interpretation. To illustrate its robustness, the algorithm will be examined under symmetric α−stable distributed noise environment. An adaptive framework is then developed and proposed in this letter to further optimize the algorithm. The proposed adaptive framework is compared with the original MUSIC-like, MUSIC, FLOM-MUSIC, and SSCM-MUSIC algorithms. A notable improvement in terms of targets resolvability of the proposed method is observed under different impulse noise scenarios as well as different SNR levels.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

DIRECTIONAL ADAPTIVE MUSIC-LIKE ALGORITHM UNDER SYMMETRIC Α-Stable DISTRIBUTED NOISE

Borijindargoon¹,

Ng²

2019

PIER Letters

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“…Since is a positive definite matrix, the weight vector solution in (6) can also be written in terms of the matrix pencil as [12] (14)…”

Section: A Working Principlementioning

confidence: 99%

Reduced-Complexity Super-Resolution DOA Estimation with Unknown Number of Sources

Reddy

Mubeen

2015

IEEE Signal Process. Lett.

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When the number of sources is inaccurately estimated, it is well-known that the conventional subspace-based super-resolution direction-of-arrival (DOA) estimation techniques provide inconsistent spatial spectrum, and hence the DOA estimates. In this work, we present a novel technique which provides resolution capability comparable with that of the super-resolution techniques. While the working principle of the proposed technique is similar to that of the minimum-norm algorithm, the algorithm is insensitive to the estimated model-order. Simulation studies show that the proposed technique is advantageous over the use of subspace-based techniques with the number of sources estimated by well-known model order estimation techniques.

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“…Similar to methods in other works, PDDA does not require the estimation of the number of sources in the system. Again, MUSIC‐like algorithms in the works of Zhang and Ng and Reddy et al use minor component analysis with the marginal trade‐off in the accuracy of estimating the angles. Another method of complexity reduction lies in the reduction in size of the array manifold.…”

Section: Introductionmentioning

confidence: 99%

“…Tao et al have proposed an oblique projection–based approach for 2D direction estimation from a mixture of coherent and noncoherent signals. In some works, the AoA estimation alone is considered. Zhang et al did an estimation of the azimuth angles of both the angles of arrival and departure by reducing the size of the steering vector to reduce the complexity.…”

Section: Introductionmentioning

confidence: 99%

Sparse linear array in the estimation of AoA and AoD with high resolution and low complexity

Beulah¹,

Venkateswaran²

2019

Trans Emerging Tel Tech

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High resolution with low complexity angle of arrival and departure estimation in real-time radar and wireless communication has been a topic of intensive research. In this paper, two novel algorithms are proposed, namely, minimum redundancy and minimum redundancy-reduced correlation algorithms, for finding the angles of arrival and departure with high resolution and low complexity. The first of the two proposed algorithms is meant for the reduction in the active number of antennas (minimum redundancy) without generating virtual angles. The second involves a reduction in subspace leakage to enable improvement of the peak power of the estimated true angles. The authors have assumed the users as coherent and the channel following Saleh-Valenzuela model. This has been done for the validation of the performance of the proposed algorithms. Numerical simulations demonstrate the out performance of the existing sparse array subspace-based methods in the estimation of angles by the proposed methods.

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Insights Into MUSIC-Like Algorithm

Cited by 21 publications

References 9 publications

DIRECTIONAL ADAPTIVE MUSIC-LIKE ALGORITHM UNDER SYMMETRIC Α-Stable DISTRIBUTED NOISE

DIRECTIONAL ADAPTIVE MUSIC-LIKE ALGORITHM UNDER SYMMETRIC Α-Stable DISTRIBUTED NOISE

Reduced-Complexity Super-Resolution DOA Estimation with Unknown Number of Sources

Sparse linear array in the estimation of AoA and AoD with high resolution and low complexity

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