Rx Beamforming for Long Baseline Multistatic Radar Networks

Hoffmann, Rudolf; Neuberger, Nadav; Vehmas, Risto

doi:10.1109/radarconf2147009.2021.9455173

Cited by 3 publications

(1 citation statement)

References 13 publications

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“…And Ref. [10][11][12][13] describe beamspace methods for bistatic systems. In recent years, many target localisation methods have been proposed by direction estimation in monostatic or bistatic radar systems [14,15].…”

Section: Introductionmentioning

confidence: 99%

Multi‐target pair‐matching method based on angle information in transmit/receive‐receive synergetic High Frequency Surface Wave Radar

Bai

Deng

et al. 2022

IET Radar Sonar & Navi

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In the past few decades, the target location methods in transmit/receive-receive (T/R-R) synergetic High Frequency Surface Wave Radar (HFSWR) have received extensive attention from the signal processing community. However, there are few studies on the method of parameter pair-matching for multi-target scene. In this paper, a computationally efficient multi-target pair-matching method based on angle information only in T/R-R synergetic HFSWR is developed. The proposed method is realised by dealing with three vectors composed of the first column, the first row and diagonal entries of the correlation matrix, instead of performing the singular value decomposition (SVD) of the correlation matrix. Simultaneously, the proposed method is a computationally efficient subspace algorithm, which only uses the angle information to complete the purpose of multi-target pair-matching. The simulation results are presented to demonstrate the effectiveness of the proposed method.

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Section: Introductionmentioning

confidence: 99%

Multi‐target pair‐matching method based on angle information in transmit/receive‐receive synergetic High Frequency Surface Wave Radar

Bai

Deng

et al. 2022

IET Radar Sonar & Navi

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GESTRA - upgrading to future distributed phased array radar networks for space surveillance

Reising

Gilles

Hoffmann

et al. 2022

2022 IEEE International Symposium on Phased Array Systems &Amp; Technology (PAST)

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Multi-Target Pairing Method Based on PM-ESPRIT-like DOA Estimation for T/R-R HFSWR

Li,

Wu,

Chen

et al. 2024

Remote Sensing

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The transmit/receive-receive (T/R-R) synergetic High Frequency Surface Wave Radar (HFSWR) has increasingly attracted attention due to its high localization accuracy, but multi-target pairing needs to be performed before localization in multi-target scenarios. However, existing multi-target parameter matching methods have primarily focused on track association, which falls under the category of information-level fusion techniques, with few methods based on detected points. In this paper, we propose a multi-target pairing method with high computational efficiency based on angle information for T/R-R synergetic HFSWR. To be more specific, a dual-receiving array signal model under long baseline condition is firstly constructed. Then, the amplitude and phase differences of the same target reaching two subarrays are calculated to establish the cross-correlation matrix. Subsequently, in order to extract the rotation factor matrices containing pairing information and improve angle estimation performance, we utilize the conjugate symmetry properties of the uniform linear array (ULA) manifold matrix for generalized virtual aperture extension. Ultimately, azimuths estimation and multi-target pairing are accomplished by combining the propagator method (PM) and the ESPRIT algorithm. The proposed method relies solely on angle information for multi-target pairing and leverages the rotational invariance property of Vandermonde matrices to avoid peak searching or iterations, making it computationally efficient. Furthermore, the proposed method maintains superb performance regardless of whether the spatial angles are widely separated or very close. Simulation results validate the effectiveness of the proposed method.

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Rx Beamforming for Long Baseline Multistatic Radar Networks

Cited by 3 publications

References 13 publications

Multi‐target pair‐matching method based on angle information in transmit/receive‐receive synergetic High Frequency Surface Wave Radar

Multi‐target pair‐matching method based on angle information in transmit/receive‐receive synergetic High Frequency Surface Wave Radar

GESTRA - upgrading to future distributed phased array radar networks for space surveillance

Multi-Target Pairing Method Based on PM-ESPRIT-like DOA Estimation for T/R-R HFSWR

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