Computational Efficient Two-Dimension DOA Estimation for Incoherently Distributed Noncircular Sources With Automatic Pairing

Dai, Zhengliang; Ba, Bin; Cui, Weijia; Sun, Youming

doi:10.1109/access.2017.2757932

Cited by 24 publications

(18 citation statements)

References 24 publications

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“…the deterministic CRB to evaluate the proposed method as analyzed in [27]- [30]. Thus, the derivation of the stochastic CRB for CD sources is omitted in this paper.…”

Section: Derivation Of the Cramer-rao Boundmentioning

confidence: 99%

“…And the problem of coexist circular and noncircular CD sources is also detailed analysis. In [27] and [28], three-parallel ULAs and multiple uniform circular arrays are designed to locate the 2D angular parameters estimation for ID sources. In [29], [30], 2D ID and CD sources DOA estimation in massive MIMO system with uniform rectangular array are considered by using ESPRIT-like and unitary ESPRIT algorithm, respectively.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

et al. 2019

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In this paper, an efficient method via unitary joint diagonalization is proposed to deal with the coherently distributed sources in bistatic multiple-input multiple-output (MIMO) radar systems. In order to determine the direction of departure (DOD) and direction of arrival (DOA) of the coherently distributed source, a special array configuration is designed both for transmitter and receiver in bistatic MIMO radar system. Then, a new signal model can be obtained by utilizing the designed array characteristic and the rotational invariance relationship is constructed both for DOD and DOA. For the special rotational invariance relationship, the joint diagonalization technique is adopted to locate the coherently distributed sources and the angular parameters are automatically paired without multidimensional search process. The proposed joint diagonalization method can also determine the targets when multiple imping sources have the common DODs or DOAs. Finally, the approximate determined Cramer-Rao bound of the proposed estimator for the coherently distributed sources is also derived. And, additional numerical results are conducted to verify the effectiveness and superiority of the proposed method. INDEX TERMS Bistatic MIMO radar, unitary joint diagonalization, coherently distributed sources, direction of departure estimation, direction of arrival estimation.

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“…the deterministic CRB to evaluate the proposed method as analyzed in [27]- [30]. Thus, the derivation of the stochastic CRB for CD sources is omitted in this paper.…”

Section: Derivation Of the Cramer-rao Boundmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

et al. 2019

View full text Add to dashboard Cite

show abstract

“…The models for spatially distributed sources have been classified into two types, namely incoherently distributed (ID) sources and coherently distributed (CD) sources. On one hand, for ID sources, signals coming from different points of the same distributed source can be considered as uncorrelated [7]- [10]. On the other hand, in the scenario of CD sources, the received signal components are delayed and scaled replicas from different points within the same source [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

5G Positioning and Mapping With Diffuse Multipath

Wen

Kulmer

Witrisal

et al. 2021

IEEE Trans. Wireless Commun.

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5G mmWave communication is useful for positioning due to the geometric connection between the propagation channel and the propagation environment. Channel estimation methods can exploit the resulting sparsity to estimate parameters (delay and angles) of each propagation path, which in turn can be exploited for positioning and mapping. When paths exhibit significant spread in either angle or delay, these methods break down or lead to significant biases. We present a novel tensorbased method for channel estimation that allows estimation of mmWave channel parameters in a non-parametric form. The method is able to accurately estimate the channel, even in the absence of a specular component. This in turn enables positioning and mapping using only diffuse multipath. Simulation results are provided to demonstrate the efficacy of the proposed approach.

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“…In this way, the range of the spectral peak search is extended to three-dimensional space, which means that the DOA of the signal source can completely include both the elevation angle and azimuth angle. However, due to multi-dimensional space spectrum search, a large amount of computational burden has always been a problem that researchers need to solve [ 17 ]. In addition to the huge computation of the spectral peak search, this kind of DOA algorithm involves various complex operations such as matrix eigenvalue decomposition, which resulting in difficulties in the engineering implementation of programmable devices, such as FPGA.…”

Section: Introductionmentioning

confidence: 99%

A Fast Estimation Method for Direction of Arrival Using Tripole Vector Antenna

Zhang

Zou

Zhang

et al. 2020

Sensors

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The tripole vector antenna comprises three orthogonal dipole antennas, so it could completely capture all the electric field of the incident electromagnetic (EM) wave. Then, the electric field information could be used to estimate the direction of arrival (DOA) of the EM wave if two conditions are satisfied. One is that there exists only one single EM wave in space. The other is that the EM wave is elliptically or circularly polarized. The new estimation method obtains two snapshot vectors through the output of a tripole antenna and computes their cross-product vector. Furthermore, the direction of the cross-product vector is used to estimate the DOA of the EM wave directly. We analyze the statistical characteristics of the DOA estimation error to prove that the new scheme is an asymptotic unbiased estimation. Furthermore, unlike the existing Multiple Signal Classification (MUSIC)-based algorithms, the proposed approach only need one tripole vector antenna instead of an antenna array. Meanwhile, the new method also outperforms existing MUSIC-based algorithms in the term of computational complexity. Finally, the performance and advantages of the proposed method are verified by numerical simulations.

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Computational Efficient Two-Dimension DOA Estimation for Incoherently Distributed Noncircular Sources With Automatic Pairing

Cited by 24 publications

References 24 publications

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

Joint DOD and DOA Estimation for Coherently Distributed Sources in Bistatic MIMO Radar Based on Joint Diagonalization

5G Positioning and Mapping With Diffuse Multipath

A Fast Estimation Method for Direction of Arrival Using Tripole Vector Antenna

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