Joint estimation of DOA and polarisation for radar signals based on dual‐polarised antenna array

Wu, Jian; Zhu, Xiaojin; He, Xiaoming; Gao, Zhiyuan; Fang, Yubin

doi:10.1049/iet-map.2019.0609

Cited by 2 publications

(1 citation statement)

References 37 publications

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“…These modes can be defined by the polarization parameters given in Table 1. The polarization vector of the received signal at the array can be expressed as [22,23] (1)…”

Section: Polarization Modelmentioning

confidence: 99%

A low complexity STPAP algorithm based on an alternating polarization-sensitive array

Sha

Lyu

Zhang

et al. 2022

EURASIP J. Adv. Signal Process.

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Background Space–time adaptive processing (STAP) has been widely used in the fields of communication, radar, and navigation anti-jamming. However, the traditional scalar arrays used with STAP have limitations because they can only obtain spatial information. To improve the performance, joint space–time filtering is proposed using an alternating polarization-sensitive array (APSA). Compared to a dual-polarization sensitive array (DPSA), this array can provide polarization information and reduce the computational complexity. Methods An alternating polarization-sensitive array space–time polarization adaptive processing (APSA-STPAP) algorithm is proposed based on the linear constraint minimum variance (LCMV) criterion. Different from the traditional LCMV criterion, the space–time polarization joint steering vector of the desired and interference signals is used as the constraint matrix, and the “set 1” and “set 0” conditions are used as the constraint conditions to effectively suppress the interference signals and enhance the desired signals. Results Simulation results are presented which show the following. (1) Filtering with the proposed APSA-STPAP algorithm is similar to that with the DPSA-STPAP algorithm. From the perspective of the spatial, time, and polarization domains, it can form nulls in the directions of the interference and realize space–time-polarization adaptive processing. (2) The APSA-STPAP algorithm has lower computational complexity than the DPSA-STPAP algorithm. Moreover, the dipole of the alternating polarization sensitive array is halved, which reduces the coupling effect between electric dipoles and makes implementation easier. (3) The APSA-STPAP algorithm maintains good anti-interference performance even when the electric dipole and anti-jamming degrees of freedom are reduced by half, and the anti-jamming performance is similar to that of a polarization-sensitive array. There is little difference between the anti-interference performance of the APSA-STPAP and DPSA-STPAP algorithms when SNR ≥ − 10 dB.

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“…These modes can be defined by the polarization parameters given in Table 1. The polarization vector of the received signal at the array can be expressed as [22,23] (1)…”

Section: Polarization Modelmentioning

confidence: 99%

A low complexity STPAP algorithm based on an alternating polarization-sensitive array

Sha

Lyu

Zhang

et al. 2022

EURASIP J. Adv. Signal Process.

View full text Add to dashboard Cite

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Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

Fabiani

Sakomura

Silveira

et al. 2021

Sensors

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Direction finding (DF) systems are used to determine the direction-of-arrival (DoA) of electromagnetic waves, thus allowing for the tracking of RF sources. In this paper, we present an alternative formulation of antenna arrays for modeling DF systems. To improve the accuracy of the data provided by the DF systems, the effects of mutual coupling in the array, polarization of the received waves, and impedance mismatches in the RF front-end receiver are all taken into account in the steering vectors of the DoA algorithms. A closed-form expression, which uses scattering parameter data and active-element patterns, is derived to compute the receiver output voltages. Special attention is given to the analysis of wave polarization relative to the DF system orientation. Applying the formulation introduced here, a complete characterization of the received waves is accomplished without the need for system calibration techniques. The validation of the proposed model is carried out by measurements of a 2.2 GHz DF system running a MUSIC algorithm. Tests are performed with a linear array of printed monopoles and with a planar microstrip antenna array having polarization diversity. The experimental results show DoA estimation errors below 6° and correct classification of the polarization of incoming waves, confirming the good performance of the developed formulation.

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Joint estimation of DOA and polarisation for radar signals based on dual‐polarised antenna array

Cited by 2 publications

References 37 publications

A low complexity STPAP algorithm based on an alternating polarization-sensitive array

A low complexity STPAP algorithm based on an alternating polarization-sensitive array

Alternative Formulation of Antenna Arrays for DF Systems Considering Active-Element Patterns and Scattering Matrices

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