New Transmit-Receive Array Configurations for the MIMO Radar With Enhanced Degrees of Freedom

Shaikh, Abdul Hayee; Dang, Xiaoyu; Ahmed, Tanveer; Huang, Daqing

doi:10.1109/lcomm.2020.2983403

Cited by 12 publications

(8 citation statements)

References 18 publications

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“…It can be concluded from ( 6) that the DCSC of a MIMO radar is in fact the sum-coarray of the two difference-coarray originated from the transmit and receive array, respectively [10], [11].…”

Section: Signal Model a The Dcsc Of Mimo Radarmentioning

confidence: 99%

“…The new nested MIMO (NN-MIMO) array presents a general way for sparse MIMO array design using sparse arrays (SAs) with holefree DCA and achieves good improvement on uDOF [10]. In [11], based on the coprime array with displaced subarrays (CADiS), the nested-CADiS MIMO array (NC-MIMO) was proposed. In comparison with the NN-MIMO, the NC-MIMO is less sensitive to the mutual coupling between antenna elements.…”

Section: Introductionmentioning

confidence: 99%

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ULA Fitting for MIMO Radar

Shi¹,

Liu²,

Li³

2022

Preprint

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Nowadays, sparse multiple input and multiple output (MIMO) radar design considers the difference coarray of the sum coarray (DCSC) concept and the uniform degrees of freedom is improved significantly. Current sparse MIMO arrays are designed based on transmit and receive arrays with hole-free difference coarrays (DCAs). Recently, the uniform linear array (ULA) fitting (UF) principle is proposed which aims to design sparse arrays (SAs) with desired capacity using cascaded ULAs. However, SAs designed via UF can not guarantee hole-free DCAs. In this letter, we aim to use SAs designed via UF to devise sparse MIMO arrays with low mutual coupling. Strategies of using SAs with non hole-free DCA to design sparse MIMO arrays is introduced as well. Numerical simulations verifies the good performance of the proposed sparse MIMO array in high coupling scenarios.

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Section: Signal Model a The Dcsc Of Mimo Radarmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

ULA Fitting for MIMO Radar

Shi¹,

Liu²,

Li³

2022

Preprint

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“…Direction of arrival (DOA) estimation is an important issue in modern signal processing, which has been widely used in radar, sonar, wireless communication [1, 2], and other fields [3–5]. The conventional uniform linear array (ULA) has been widely used for DOA estimation, and the inter‐element spacing of ULA is no more than half a wavelength to avoid spatial aliasing [6].…”

Section: Introductionmentioning

confidence: 99%

Improved unfolded coprime array subject to motion for DOA estimation: augmented consecutive synthetic difference co‐array

Zhang

et al. 2020

IET signal process.

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Direction of arrival (DOA) estimation using the improved unfolded coprime array (IUFCA) subject to array motion isdiscussed in this study. Unfolded coprime array (UFCA) consists of two uniform linear subarrays, and the two subarrays are arranged at different sides of theaxis, which leads to a large number of holes in the difference co‐array (DCA). With array motion and DCA synthesis,part of the holes can be filled, but there are still holes in the center which lead to the virtual arrays separated.By analyzing the hole positions in the synthetic DCA generated by UFCA motion, the authors improve the originalUFCA by relocating some physical elements, then the two dominantconsecutive DCA segments in the positive and negative sides can be connected. The expression of synthetic DCA is analyzed, and the closed‐form expression of theuniform degree of freedom (uDOF) subject to IUFCA motion is studied. Simulation results show that IUFCA motion can obtain a largenumber of uDOFs, which leads to better DOA estimation performance and more identifiable signals compared with existingcoprime array configurations.

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“…Owing to these benefits, the proposed array efficiently resolve multiple sources in under-determined conditions and achieves better direction-of-arrival estimation performance than its counterpart structures. Simulation results validate the superiority of the proposed configuration.Introduction: Array signal processing is a fundamental and timehonored technology widely used in communication fields [1,2]. The primary advantages of utilizing sensor arrays include improving the signal quality, mitigating the interference, and spatial selectivity.…”

mentioning

confidence: 99%

“…Introduction: Array signal processing is a fundamental and timehonored technology widely used in communication fields [1,2]. The primary advantages of utilizing sensor arrays include improving the signal quality, mitigating the interference, and spatial selectivity.…”

mentioning

confidence: 99%

New sparse array for non‐circular sources with increased degrees of freedom

Shaikh

Dang

Khoso

et al. 2021

Electronics Letters

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Recently, sparse arrays have received considerable attention as they provide larger array aperture and increased degrees‐of‐freedom (DOFs) compared to uniform linear arrays. These features are essential to enhance the direction‐of‐arrival estimation performance. However, most of the existing sparse arrays are mainly designed for circular sources and realize limited increment in DOFs for non‐circular sources. In this letter, a new sparse array configuration for non‐circular sources is presented, which significantly increases the achievable DOFs and improves the direction‐of‐arrival estimation performance. The proposed geometry comprises two effectively configured uniform linear arrays that exploit the characteristics of non‐circular sources and extend the array aperture. For a given number of sensors, its virtual array is advantageously a hole‐free uniform linear array. Moreover, the precise sensor locations, achievable DOFs, and optimal distribution of physical sensors are determined analytically by closed‐form expressions. Owing to these benefits, the proposed array efficiently resolve multiple sources in under‐determined conditions and achieves better direction‐of‐arrival estimation performance than its counterpart structures. Simulation results validate the superiority of the proposed configuration.

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New Transmit-Receive Array Configurations for the MIMO Radar With Enhanced Degrees of Freedom

Cited by 12 publications

References 18 publications

ULA Fitting for MIMO Radar

ULA Fitting for MIMO Radar

Improved unfolded coprime array subject to motion for DOA estimation: augmented consecutive synthetic difference co‐array

New sparse array for non‐circular sources with increased degrees of freedom

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