Multitarget Detection Strategy for Distributed MIMO Radar With Widely Separated Antennas

Yang, Shixing; Yi, Wei; Jakobsson, Andreas

doi:10.1109/tgrs.2022.3175046

Cited by 19 publications

(5 citation statements)

References 47 publications

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“…First, since receivers are unaware of concurrent reflections from multiple targets, it is difficult to match measurements (e.g., distances and angles) with the right target [12]. For instance, in conventional distance-based multi-target localization schemes [9], [13], the association between multiple targets and extracted measurements needs to be determined based on the location of intersections calculated from several measured distances. In this case, the number of intersections inevitably increases exponentially with respect to the number of targets, making it computationally expensive to determine which intersections are real targets or "ghost/shadow" targets [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

Meng,

Wu,

Chen

et al. 2024

IEEE Trans. Commun.

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Autonomous driving and intelligent transportation applications have dramatically increased the demand for highaccuracy and low-latency localization services. While cellular networks are potentially capable of target detection and localization, achieving accurate and reliable positioning faces critical challenges. Particularly, the relatively small radar cross sections (RCS) of moving targets and the high complexity for measurement association give rise to weak echo signals and discrepancies in the measurements. To tackle this issue, we propose a novel approach for multi-target localization by leveraging the controllable signal reflection capabilities of intelligent reflecting surfaces (IRSs). Specifically, IRSs are strategically mounted on the targets (e.g., vehicles and robots), enabling effective association of multiple measurements and facilitating the localization process. We aim to minimize the maximum Cramér-Rao lower bound (CRLB) of targets by jointly optimizing the target association, the IRS phase shifts, and the dwell time. However, solving this CRLB optimization problem is non-trivial due to the non-convex objective function and closely coupled variables. For single-target localization, a simplified closed-form expression is presented for the case where base stations (BSs) can be deployed flexibly, and the optimal BS location is derived to provide a lower performance bound of the original problem. Then, we prove that the transformed problem is a monotonic optimization, which can be optimally solved by the Polyblock-based algorithm. Moreover, based on derived insights for the single-target case, we propose a heuristic algorithm to optimize the target association and time allocation for the multi-target case. Furthermore, we provide useful guidance for the practical implementation of the proposed localization scheme by theoretically analyzing the relationship between time slots, BSs, and targets. Simulation results verify that deploying IRS on vehicles and effective phase shift design can effectively improve the resolution ability of multi-vehicle positioning and reduce the requirements of the number of BSs.

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Section: Introductionmentioning

confidence: 99%

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

Meng,

Wu,

Chen

et al. 2024

IEEE Trans. Commun.

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“…Such technology permits scalability, spatial adaptability, and robustness to node failures and interference [1]. A variety of applications have been proposed including distributed communications [2], remote sensing [3], and radar [4]- [7].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Multipath in Distributed Arrays with Time Reversal

Ouassal,

Dietlein,

Chisum

2024

Preprint

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“…MIMO radar can be classified into distributed MIMO radar and colocated MIMO radar. The antennas of distributed MIMO radar are widely separated so as to overcome the detection performance degradation, which is caused by the radar cross-section scintillation [2,3]. Different from the distributed MIMO radar, the array spacing of colocated MIMO radar is in the order of wavelength.…”

Section: Introductionmentioning

confidence: 99%

Mutual information‐based constant‐modulus waveform design for multiple‐input‐multiple‐output radar in spectrally crowded environment

Wang

Tang

et al. 2023

IET Radar Sonar & Navi

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This study considers designing constant-modulus waveforms for multiple-input-multipleoutput radar in spectrally crowded environment. The mutual information is used as the waveform design metric. A constant-modulus constraint is imposed on the waveforms to improve the hardware efficiency. To enhance the spectral compatibility of the transmit waveforms, a precise control on the interference energy produced on each reserved bandwidth is considered. To tackle the multi-spectrally constrained waveform design problem, a minorisation-maximisation based method is developed, and a quadratic function to minorise the objective function is derived. Then an alternating direction method of multipliers is used to tackle the quadratically constrained quadratic programming problem at each iteration. The effectiveness of the presented algorithm is demonstrated via simulation results. K E Y W O R D Salternating direction method of multipliers (ADMM), constant-modulus, MIMO radar, minorisationmaximisation (MM), mutual information, spectrally crowded environment, waveform designThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

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Multitarget Detection Strategy for Distributed MIMO Radar With Widely Separated Antennas

Cited by 19 publications

References 47 publications

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

Cooperative Cellular Localization With Intelligent Reflecting Surface: Design, Analysis and Optimization

The Effect of Multipath in Distributed Arrays with Time Reversal

Mutual information‐based constant‐modulus waveform design for multiple‐input‐multiple‐output radar in spectrally crowded environment

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