Cognitive Radar Target Detection and Tracking With Multifunctional Reconfigurable Antennas

Gürbüz, Ali Cafer; Mdrafi, Robiulhossain; Cetiner, Bedri A.

doi:10.1109/maes.2020.2990589

Cited by 9 publications

(5 citation statements)

References 48 publications

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“…Despite the convexity, the Hadamard product is not easy to handle. Therefore, we further transform the cost function of P 3 , as shown in (21) at the bottom of this page, where…”

Section: B Problem Formulationmentioning

confidence: 99%

“…The performance benefits of MR-MIMO mainly come from the additional DoFs, and the exploitation of such additional DoFs is mainly accomplished through the effective optimal mode selection scheme. Currently, several applications of MR-MIMO have been promoted in areas such as MIMO transmission [20], target detection and tracking [21], direction of arrival (DoA) estimation [22], [23]. In [20], the additional efficient channels generated by MR-MIMO expanded the users scheduling region, which would further improve the performance.…”

Section: Introductionmentioning

confidence: 99%

“…A joint user and antenna mode selection algorithm based on determinant pairing scheduling was proposed, and a greedy low-complexity iterative selection scheme was further designed. [21] discussed the application of MR-MIMO in the field of target detection and tracking, and proposed a Bayesian cognitive target tracking technique, which minimized the Cramér-Rao lower bound (CRLB) of the DoA parameters through an adaptive selection of the reconfigurable antennas' modes. With respect to the DoA estimation for MR-MIMO, the traditional estimation technique was combined with the mode selection scheme and an improved performance could be achieved [22], [23].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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Multi-functional and reconfigurable multiple-input multiple-output (MR-MIMO) can provide performance gains over traditional MIMO by introducing additional degrees of freedom. In this paper, we focus on the capacity maximization pattern design for MR-MIMO systems. Firstly, we introduce the matrix representation of MR-MIMO, based on which a pattern design problem is formulated. To further reveal the effect of the radiation pattern on the wireless channel, we consider pattern design for both the single-pattern case where the optimized radiation pattern is the same for all the antenna elements, and the multi-pattern case where different antenna elements can adopt different radiation patterns. For the single-pattern case, we show that the pattern design is equivalent to a redistribution of power among all scattering paths, and an eigenvalue optimization based solution is obtained. For the multi-pattern case, we propose a sequential optimization framework with manifold optimization and eigenvalue decomposition to obtain near-optimal solutions. Numerical results validate the superiority of MR-MIMO systems over traditional MIMO in terms of capacity, and also show the effectiveness of the proposed solutions.

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“…Despite the convexity, the Hadamard product is not easy to handle. Therefore, we further transform the cost function of P 3 , as shown in (21) at the bottom of this page, where…”

Section: B Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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show abstract

“…The applications of PR-MIMO in practical wireless scenarios such as user scheduling [12], target location [13], direction of arrival (DoA) estimation [14], [15], have been discussed recently. In [12], PR-MIMO improved the performance by expanding the users scheduling region via the additional reconfigurable channels.…”

Section: Introductionmentioning

confidence: 99%

“…The pairing scheduling was determined by the proposed joint user and antenna mode selection scheme, and a greedy low-complexity iterative selection algorithm was further designed. [13] considered PR-MIMO for target detection and tracking, where a Bayesian cognitive target tracking technique to minimize the Cramér-Rao lower bound (CRLB) of the DoA parameters was proposed. Considering the DoA estimation for PR-MIMO, [14] and [15] combined the traditional methods with the adaptive decision algorithm and further improved the estimation accuracy.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

Wang¹,

Li²,

Liu³

et al. 2022

Preprint

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In this paper, we focus on the pattern reconfigurable multiple-input multiple-output (PR-MIMO), a technique that has the potential to bridge the gap between electro-magnetics and communications towards the emerging Electro-magnetic Information Theory (EIT). Specifically, we focus on the pattern design problem aimed at maximizing the channel capacity for reconfigurable MIMO communication systems, where we firstly introduce the matrix representation of PR-MIMO and further formulate a pattern design problem. We decompose the pattern design into two steps, i.e., the correlation modification process to optimize the correlation structure of the channel, followed by the power allocation process to improve the channel quality based on the optimized channel structure. For the correlation modification process, we propose a sequential optimization framework with eigenvalue decomposition to obtain near-optimal solutions. For the power allocation process, we provide a closed-form power allocation scheme to redistribute the transmission power among the modified subchannels. Numerical results show that the proposed pattern design scheme offers significant improvements over legacy MIMO systems, which motivates the application of PR-MIMO in wireless communication systems.

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Integrating AI into Radar System Design: Next-Generation Cognitive Radars

Gurbuz,

Bell,

Greco

2023

Women in Engineering and Science

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Cognitive Radar Target Detection and Tracking With Multifunctional Reconfigurable Antennas

Cited by 9 publications

References 48 publications

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

Reconfigurable MIMO towards Electro-magnetic Information Theory: Capacity Maximization Pattern Design

Integrating AI into Radar System Design: Next-Generation Cognitive Radars

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