Successive ESPRIT Algorithm for Joint DOA-Range-Polarization Estimation With Polarization Sensitive FDA-MIMO Radar

Li, Binbin; Bai, Weixiong; Zheng, Guimei

doi:10.1109/access.2018.2844948

Cited by 56 publications

(38 citation statements)

References 26 publications

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“…According to Equation (4), due to the existence of a coupling relationship between DOA and the range, it is necessary to obtain DOA information by the rotation invariance relationship of the receiving subarrays, and substitute the estimated DOA into the rotation invariance of transmitting arrays to get the range information. The complex-valued invariance relationship of the Subarray 3 and Subarray 4 can be expressed as [42]…”

Section: Rotation Invariance Of Subarraysmentioning

confidence: 99%

“…However, these algorithms with peak-searching require a large computational complexity. Although a method based on estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm has been introduced to obtain the range and angle estimation and reduce the complexity [42], there are still some challenges, such as a low estimation performance, high complexity and phase ambiguity.…”

Section: Introductionmentioning

confidence: 99%

“…The Cramér-Rao Bound (CRB) for target parameter of monostatic FDA-MIMO radar is derived. Computational complexity analysis is provided to be compared with that of [42].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar

Liu

Wang

Huang

et al. 2020

Sensors

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A novel unitary estimation of signal parameters via rotational invariance techniques (ESPRIT) algorithm, for the joint direction of arrival (DOA) and range estimation in a monostatic multiple-input multiple-output (MIMO) radar with a frequency diverse array (FDA), is proposed. Firstly, by utilizing the property of Centro-Hermitian of the received data, the extended real-valued data is constructed to improve estimation accuracy and reduce computational complexity via unitary transformation. Then, to avoid the coupling between the angle and range in the transmitting array steering vector, the DOA is estimated by using the rotation invariance of the receiving subarrays. Thereafter, an automatic pairing method is applied to estimate the range of the target. Since phase ambiguity is caused by the phase periodicity of the transmitting array steering vector, a removal method of phase ambiguity is proposed. Finally, the expression of Cramér–Rao Bound (CRB) is derived and the computational complexity of the proposed algorithm is compared with the ESPRIT algorithm. The effectiveness of the proposed algorithm is verified by simulation results.

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Section: Rotation Invariance Of Subarraysmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar

Liu

Wang

Huang

et al. 2020

Sensors

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“…In recent years, the DOA estimation issue with EVSA has been widely studied [8][9][10][11][12]. Wong and Zoltowski [8] proposed a closed-form ESPRIT based method for DOA and polarization estimation with arbitrarily spaced EVSA.…”

Section: Introductionmentioning

confidence: 99%

“…Zheng [11] proposed a high-accuracy DOA estimator by exploiting the coarse-fine estimate combination. In [12], an ESPRIT-based method was proposed for joint DOA-range-polarization estimation for MIMO radar. However, these joint DOA and polarization estimation methods cannot be used for the practical PRDRF system.…”

Section: Introductionmentioning

confidence: 99%

A Dimensionality Reduction Music Method for Joint Doa and Polarization Estimation in the PRDRF System Using SSSC-Evsa

Zhao¹,

Hu²,

Wang³

2018

PIER M

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Traditional long vector-based MUSIC methods require 4D spectral search, which suffers from heavy computational complexity. This paper develops a joint DOA and polarization estimation method named as dimensionality reduction MUSIC (DR-MUSIC) method for a passive radar direction finding (PRDRF) system using spatially separated single-component circular electromagnetic vector sensor array (SSSC-EVSA), where 4D spectral search is transformed into 2D spectral search by exploiting rank deficiency of the signal component of cost function. Polarization parameters are estimated via the generalized eigenvector of matrix pencil, which can be utilized for the recognition of radar and decoy. In addition, the estimation performance of the proposed DR-MUSIC method is also studied considering the phase inconsistency among multi-channels. Simulation results demonstrate the effectiveness of the DR-MUSIC method.

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DOA Estimation Approach Based on Parallel Stochastic Resonance System and Signal Correlation Calculation

2024

Circuits Syst Signal Process

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Successive ESPRIT Algorithm for Joint DOA-Range-Polarization Estimation With Polarization Sensitive FDA-MIMO Radar

Cited by 56 publications

References 26 publications

A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar

A Novel Unitary ESPRIT Algorithm for Monostatic FDA-MIMO Radar

A Dimensionality Reduction Music Method for Joint Doa and Polarization Estimation in the PRDRF System Using SSSC-Evsa

DOA Estimation Approach Based on Parallel Stochastic Resonance System and Signal Correlation Calculation

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