Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

Gao, Yang; Xu, Jia; Xin, Jia

doi:10.1007/s11432-015-5445-0

Cited by 10 publications

(4 citation statements)

References 5 publications

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“…To improve the resolution for DOA estimation in the presence of closely spaced sources, several approaches have been proposed in recent years, but these works are limited to uniform linear arrays (ULAs) [15], [16], [17], [18], [19], [20], [21]. Directional domain filtering was proposed by improving the SNR and rebuilding the covariance matrix [15].…”

Section: Introductionmentioning

confidence: 99%

A Novel DOA Estimation of Closely Spaced Sources Using Attention Mechanism With Conformal Arrays

2023

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Recent developments in electronic countermeasures have heightened the demand for the direction of arrival (DOA) estimation, and it has become more urgent to improve the resolution of closely spaced sources for conformal arrays. In previous studies, distributed sources incident on linear or planar arrays have been the point of focus, and their performance for closely spaced sources has deteriorated dramatically. To address this issue, we design a multi-head attention (MHA) mechanism-based cascaded estimator, which is composed of a signal-to-noise ratio (SNR) classification network and two DOA estimation subnetworks. The former network uses a fully connected neural network for SNR classification, whose output can activate the corresponding estimation subnetwork. In estimating subnetworks, we adopt multiple self-attention mechanisms for the first time to extract more implied and representative information from raw features for effective estimation. Numerical results verify that the proposed estimator not only exhibits better performance in terms of resolution and recovery accuracy even at lower SNR but also provides great robustness with respect to angle intervals and snapshots, which lays the groundwork for further DOA studies for closely spaced sources.

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Section: Introductionmentioning

confidence: 99%

A Novel DOA Estimation of Closely Spaced Sources Using Attention Mechanism With Conformal Arrays

2023

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“…However, it suffers from resolution loss if the DOAs of strong sources are not accurately estimated. e number of sources and the DOAs of weak sources can be jointly obtained from the Eigenbeam mCapon method [23]. Repeated iterations are employed at the cost of considerable computation complexity, and this is also true for the RELAX algorithm [24].…”

Section: Introductionmentioning

confidence: 99%

DOA Estimation for Sources with Large Power Differences

Fang

Jin

Liu

et al. 2021

International Journal of Antennas and Propagation

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Sources with large power differences are very common, especially in complex electromagnetic environments. Classical DOA estimation methods suffer from performance degradation in terms of resolution when dealing with sources that have large power differences. In this paper, we propose an improved DOA algorithm to increase the resolution performance in resolving such sources. The proposed method takes advantage of diagonal loading and demonstrates that the invariant property of noise subspace still holds after diagonal loading is performed. We also find that the Cramer–Rao bound of the weak source can be affected by the power of the strong source, and this has not been noted before. The Cramer–Rao bound of the weak source deteriorates as the power of the strong source increases. Numerical results indicate that the improved algorithm increases the probability of resolution while maintaining the estimation accuracy and computational complexity.

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“…For broadband array models, traditional research has focused on wideband DOA estimation and wideband beamforming to optimize the channel capacity. The corresponding method is to maximize the received SNR or minimizing the signal estimation variance [ 21 , 22 ] . However, in the broadband array, maximizing the SNR might not guarantee the optimal delay estimation accuracy.…”

Section: Introductionmentioning

confidence: 99%

“…Meanwhile, due to the real-time requirements of application scenarios, angle estimation needs to be completed in a very short time such as moving cars or Unmanned-Aerial-Vehicles that have a Line-of-sight (LoS) channel with users [18][19][20] . This undoubtedly requires a high-precision, high-speed estimation method [17,[21][22][23][24] .…”

Section: Introductionmentioning

confidence: 99%

A Novel Synchronization Method in Terahertz Large‐Scale Antenna Array System

Zheng¹,

Ding²,

Liu³

et al. 2021

Chinese J of Electronics

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We focus on the problems of the accurate time delay estimation, the design of training pilots, and hybrid matrix optimization within the large‐scale antenna array Terahertz (THz) broadband communication system. In contrast to the existing researches based on narrow‐band arrays, we hereby shed light on the time delay estimation of broadband arrays. In THz broadband communication systems, the data symbol duration is relatively short when comparing with the dimension of the antenna array. In large‐scale antenna systems, signals received in each antenna are no longer different phase‐shifted copies of the same symbol, but completely different symbols in which occasion traditional narrow‐band structure is no longer suitable. Based on the above conclusion, firstly, we put forward a system model based on large‐scale antenna arrays and Time delay line (TDL) structure. Secondly, we deduce the Cramer‐Rao lower bound (CRLB) of the time delay estimation, and present a time delay estimation algorithm that could reach the CRLB. Thirdly, by minimizing the CRLB, we address the design of the training pilot and optimized TDL structure under the condition of constant envelope training pilot and modulus TDL structure. Finally, we disclose the numerical simulation results. According to the simulation results, the aforementioned method is workable in reaching the CRLB, the TDL structure can significantly surpass that of the traditional model, and the optimal pilot design method outperforms the pseudo‐random pilot structure.

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Joint number and DOA estimation via the eigen-beam mCapon method for closely spaced sources

Cited by 10 publications

References 5 publications

A Novel DOA Estimation of Closely Spaced Sources Using Attention Mechanism With Conformal Arrays

A Novel DOA Estimation of Closely Spaced Sources Using Attention Mechanism With Conformal Arrays

DOA Estimation for Sources with Large Power Differences

A Novel Synchronization Method in Terahertz Large‐Scale Antenna Array System

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