d-MUSIC, a real time algorithm for estimating the DOA of coherent sources using a single array snapshot

Howell, R.

doi:10.1109/icassp.1999.761364

Cited by 8 publications

(5 citation statements)

References 2 publications

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“…Next, we form the initial sample-based covariance matrix as in (4). We then use root-MUSIC as our initial DOA estimation method for the steering vector to be used in (15). In parallel, we define a predetermined tolerance range that does not overflow the angular expectation of our expected DOA with reference to the initial estimates determined in the previous stage.…”

Section: Practical Implementation For Doa Estimation Error Minimizati...mentioning

confidence: 99%

“…A large number of high-resolution methods have been proposed [5][6][7][8][9][10][11][12][13]. The classical subspace-based methods such as the multiple signal classification (MUSIC) [14] and their variants [10,15,16] exploit the covariance matrix of the array output to determine the DOA estimation, which is known to be among the best type of DOA estimators. However, these techniques tend to be computationally expensive and are difficult to implement in real-world scenarios where cost is a concern [17,18].…”

Section: Introductionmentioning

confidence: 99%

“…Using a single snapshot has been challenging, as one of the major drawbacks is that the DOA estimator's performance gets degraded for a reduced number of snapshots. Single snapshot DOA estimation techniques for efficient DOA computation have been researched in the literature but only perform well when the signal-to-noise ratio (SNR) is high [15,20,21]. The computational complexities have also been an active talking point when developing new DOA estimation methods.…”

Section: Introductionmentioning

confidence: 99%

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A Covariance Matrix Reconstruction Approach for Single Snapshot Direction of Arrival Estimation

Muhammad

Abbasi

et al. 2022

Sensors

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Achieving accurate single snapshot direction of arrival (DOA) information significantly improves communication performance. This paper investigates an accurate and high-resolution DOA estimation technique by enabling single snapshot data collection and enhancing DOA estimation results compared to multiple snapshot methods. This is carried out by manipulating the incoming signal covariance matrix while suppressing undesired additive white Gaussian noise (AWGN) by actively updating and estimating the antenna array manifold vector. We demonstrated the estimation performance in simulation that our proposed technique supersedes the estimation performance of existing state-of-the-art techniques in various signal-to-noise ratio (SNR) scenarios and single snapshot sampling environments. Our proposed covariance-based single snapshot (CbSS) technique yields the lowest root-mean-squared error (RMSE) against the true DOA compared to root-MUSIC and the partial relaxation (PR) approach for multiple snapshots and a single signal source environment. In addition, our proposed technique presents the lowest DOA estimation performance degradation in a multiple uncorrelated and coherent signal source environment by up to 25.5% with nearly negligible bias. Lastly, our proposed CbSS technique presents the best DOA estimation results for a single snapshot and single-source scenario with an RMSE of 0.05° against the true DOA compared to root-MUSIC and the PR approach with nearly negligible bias as well. A potential application for CbSS would be in a scenario where accurate DOA estimation with a small antenna array form factor is a limitation, such as in the intelligent transportation system industry and wireless communication.

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Section: Practical Implementation For Doa Estimation Error Minimizati...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Covariance Matrix Reconstruction Approach for Single Snapshot Direction of Arrival Estimation

Muhammad

Abbasi

et al. 2022

Sensors

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“…Similarly, the additive diagonal loading in (5) can also be demonstrated to the sample covariance matrix in (4), which is given as [11] 𝐑…”

Section: B Diagonal Loadingmentioning

confidence: 99%

“…IRECTION of Arrival (DOA) estimation is one of the most critical topics in sensor array signal processing with applications such as radar [1], localization & tracking [2], and wireless vehicular communications [3]. Many DOA estimation techniques have been proposed in the past, such as the classical Multiple Signal Classification (MUSIC) [4] and its modified variants [5][6][7]. These techniques use the decomposition of the sample covariance matrix to determine the signal and noise subspaces to determine the DOAs.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Diagonal Loading Technique to Improve Direction of Arrival Estimation Accuracy for Linear Antenna Array Sensors

Muhammad

Abbasi

et al. 2022

IEEE Sensors J.

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Diagonal loading is one of the most widely used and effective methods to improve the robustness of both adaptive beamformers and Direction of Arrival (DOA) estimation due to the involvement of the sensor received covariance matrix. In addition, subspace-based DOA estimation techniques rely on multiple snapshots to achieve high estimation accuracies. This paper presents the study of a modified diagonally loaded sample covariance matrix for accurate DOA estimation in adverse scenarios. The proposed and novel technique deciphers poor DOA estimation in a low SNR environment by computationally changing the received sample covariance matrix. Our method is computationally simple as it does not require peak searching and does not depend on the coherency of the signal. The efficacy of the proposed method is examined via computer simulation for various sensor array sizes and the number of snapshot samples. Based on our numerical simulation results, our proposed method generally outperforms most state-of-the-art DOA estimators. In a finite number of snapshots and a single signal source, our proposed method performs 9.5% better than the state-of-the-art DOA estimation technique, 2.8% in multiple signal sources, and 8.5% in a single snapshot, single signal source environment of gained DOA estimation performance.

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Fast maximum likelihood DOA estimation in the two-target case with applications to automotive radar

Heidenreich

Zoubir

2013

Signal Processing

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d-MUSIC, a real time algorithm for estimating the DOA of coherent sources using a single array snapshot

Cited by 8 publications

References 2 publications

A Covariance Matrix Reconstruction Approach for Single Snapshot Direction of Arrival Estimation

A Covariance Matrix Reconstruction Approach for Single Snapshot Direction of Arrival Estimation

Adaptive Diagonal Loading Technique to Improve Direction of Arrival Estimation Accuracy for Linear Antenna Array Sensors

Fast maximum likelihood DOA estimation in the two-target case with applications to automotive radar

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