Efficient DOA and Polarization Estimation for Dual-Polarization Synthetic Nested Arrays

Yang, Yunlong; Jiang, Guangyao

doi:10.1109/jsyst.2021.3134470

Cited by 12 publications

(3 citation statements)

References 47 publications

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“…Moreover, for target identification in the clutter, polarization plays a significant role [20]. Polarization information has also been applied for polarization sensitivity antenna arrays to promote signal parameter estimation performance, which primarily includes time of arrival and DOA [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Polarization Direction of Arrival Estimation Using Dual Algorithms Based on Time-Frequency Cross Terms

Shao,

Liu,

Wang

et al. 2023

Electronics

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In radar array signal processing, weak nonstationary polarization signal direction of arrival (DOA) estimation is a challenging and significant issue when both strong and weak nonstationary signals coexist. Time-frequency (T-F) analysis is an effective method to deal with nonstationary signals. In the last decade, spatial time-frequency distributions (STFDs) have been proposed for multiple dual-polarization antenna arrays and efficaciously used for nonstationary signal DOA estimation. In this article, we introduced a novelty means for estimating weak nonstationary polarization signal DOA by utilizing spatial polarimetric time-frequency distributions (SPTFDs) of cross terms when there are strong nonstationary polarization interference signals and additive Gaussian white noise. The cross terms’ SPTFDs are considered via a replaceability matrix for data covariance in multiple signal classification (MUSIC) and the estimation of signal parameters using the rotational invariance technique (ESPRIT). Combining the STFDs of cross terms with polarization information about weak nonstationary signals improves signal DOA estimation accuracy. The combined MUSIC and ESPRIT are used in the algorithm to further ensure the success probability and accuracy of DOA estimation. Through simulation analyses, the proposed algorithm is more suitable for the required application scenarios than other algorithms and is superior to other algorithms.

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Section: Introductionmentioning

confidence: 99%

Polarization Direction of Arrival Estimation Using Dual Algorithms Based on Time-Frequency Cross Terms

Shao,

Liu,

Wang

et al. 2023

Electronics

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“…The estimation of this parameter facilitates the improvement of the system's resolution and immunity to interference. The MUSIC algorithm, for example, is widely used in dipole antenna element arrays [4][5][6][7]. In [5], the authors investigate the maximum element distance constraint (MISC) theory for sparse vector sensor arrays.…”

Section: Introductionmentioning

confidence: 99%

A Fast Method for Multidimensional Joint Parameter Estimation of Polarization-Sensitive Arrays

Zhang,

Lan,

Wang

2023

Sensors

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The paper proposes a fast method for the multidimensional parameter estimation of a polarization-sensitive array. Compared with conventional methods (e.g., MUSIC algorithm), the proposed method applies an iterative approach based on Newton’s method to obtain joint estimation results instead of a spectral search and dimension reduction. It also extends the original Newton method to the 4D scale using the Hessian matrix. To reduce the complexity of establishing the aim function, Nystrom’s method is applied to process the covariance matrix. A new threshold is also proposed to select the results, which can accomplish the parameter estimation with a small number of iterations while guaranteeing a high estimation accuracy. Finally, the proposed algorithm is analyzed in detail and the numerical simulations of various algorithms are compared to verify its effectiveness.

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“…Introduction: Direction of arrival (DOA) estimation is an important topic in many fields such as communication, radar and sonar [1,2]. Over the years, many super-resolution DOA estimation methods have been investigated.…”

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confidence: 99%

High‐accuracy DOA estimation via parallel sparse nested array with extended aperture and reduced mutual coupling

Yang,

Jiang

2023

Electronics Letters

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This letter proposes a novel parallel sparse nested array and then provides a matrix reconstruction‐based method with three steps, to enhance the performance of direction of arrival (DOA) estimation in practice. The spacings between the closest antennas along x‐ and y‐axes, are coprime and much greater than half‐wavelength in the proposed array, which contributes to efficiently eliminate the mutual coupling and achieve larger aperture with limited physical antennas. By using the oblique projection operator with iteration, the proposed method can employ all items of covariance matrix of the received data to construct a virtual covariance matrix with increased degrees of freedom, for effectively improving angle estimation performance. Then the unique and high‐accuracy DOA estimation is obtained via the coprime‐ness. The simulation results show the superiority of the proposed array and method for DOA estimation in the presence of mutual coupling and limited antennas.

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Efficient DOA and Polarization Estimation for Dual-Polarization Synthetic Nested Arrays

Cited by 12 publications

References 47 publications

Polarization Direction of Arrival Estimation Using Dual Algorithms Based on Time-Frequency Cross Terms

Polarization Direction of Arrival Estimation Using Dual Algorithms Based on Time-Frequency Cross Terms

A Fast Method for Multidimensional Joint Parameter Estimation of Polarization-Sensitive Arrays

High‐accuracy DOA estimation via parallel sparse nested array with extended aperture and reduced mutual coupling

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