Optimal Antenna Allocation in MIMO Radars with Collocated Antennas

Gorji, A. A.; Kirubarajan, Thiagalingam; Kirubarajan, T.

doi:10.1109/taes.2013.120384

Cited by 32 publications

(27 citation statements)

References 27 publications

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“…Thus, Li et al [8] proposed an alternative form of CRLB, where multiple targets occupying the same resolution cell is considered. Corji et al [9,10] further analyzed the influence of the time delay, and put forward the CRLB of joint range and DOA. The CRLB associated with the DOA estimate was also investigated in the bistatic MIMO radar in [13].…”

Section: Background and Motivationmentioning

confidence: 99%

“…Particularly, in the hostile environment, to meet the requirement of low-probability of interception, the number of antennas to be activated is finite. Furthermore, it has been shown in [9,10] that, in collocated MIMO radar, the CRLB of localization is the function of antenna placement. Therefore, it is an interesting topic of optimally selecting the antennas in a novel scenario of target tracking.…”

Section: Background and Motivationmentioning

confidence: 99%

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Antenna selection in MIMO radar with collocated antennas

Zhang¹,

Xie²,

Shi³

et al. 2019

Jsee

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An antenna adjustment strategy is developed for the target tracking problem in the collocated multiple-input multipleoutput (MIMO) radar. The basic technique of this strategy is to optimally allocate antennas by the prior information in the tracking recursive period, with the objective of enhancing the worst-case estimate precision of multiple targets. On account of the posterior Cramer-Rao lower bound (PCRLB) offering a quantitative measure for target tracking accuracy, the PCRLB of joint direction-of-arrival (DOA) and Doppler is derived and utilized as the optimization criterion. It is shown that the dynamic antenna selection problem is NP-hard, and an efficient technique which combines convex relaxation with local search is put forward as the solution. Simulation results demonstrate the outperformance of the proposed strategy to the fixed antenna configuration and heuristic search algorithm. Moreover, it is able to offer close-to performance of the exhaustive search method.

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Section: Background and Motivationmentioning

confidence: 99%

Section: Background and Motivationmentioning

confidence: 99%

Antenna selection in MIMO radar with collocated antennas

Zhang¹,

Xie²,

Shi³

et al. 2019

Jsee

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“…One was to minimize the total transmit energy by setting the mean square error threshold for parameter estimation and proposed solutions to this non-convex, non-linear optimization problem by the methods of convex relaxation and domain decomposition, which proved that the uniform power distribution was not necessarily the best choice. The problem of resource allocation was studied for multi-sensor target tracking in the clutter [25], and regarded the posterior Cramer-Rao lower bound (PCRLB) as performance estimation of target state. Considering the uncertainty of source measurement, a scheme was proposed, which could accurately locate the target and effectively use the resources.…”

Section: Resource Allocation Strategies Based On the Selection And Lamentioning

confidence: 99%

Resource Allocation in Distributed MIMO Radar for Target Tracking

Song¹,

Zheng²,

Gao³

2016

Proceedings of the 2016 2nd International Conference on Advances in Energy, Environment and Chemical Engineering (AEECE 2016)

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As an important part of the battlefield defense system, the resource optimization strategy of radar systems is becoming a hot topic. In this paper, for the distributed resource allocation problem in MIMO radar target tracking, starting from the existing research results, we discuss the advantages of distributed MIMO radar, its target tracking algorithms and resource allocation strategies, focus on the resource optimization strategies for the increasing accuracy of distributed MIMO radar target tracking, and make prospects for further research. IntroductionMIMO radar is experiencing a new concept of the rapid development of radar system, which has incomparable advantages over traditional radars in accurate positioning, low-speed moving target detection, spatial resolution, as well as to deal with stealth targets and low probability of intercept radars and other aspects. The development status and issues to be studied are of concern. Since the communication MIMO technology achieved innovation in the field of radars, the distributed MIMO radar has becoming a major breakthrough of traditional radar concept. For the development of radar technology, the distributed MIMO radar is opening up broader prospects for further development and applications.In a hostile environment, the resource allocation strategy [1] is an important part in military action, so it must be considered in radar system design. The resource allocation problem is not only a hot topic in this field, but also supports the future of networked radar development. For example, in MIMO radar system design, the optimal power allocation strategy in most cases is not necessarily the uniform power distribution, therefore the power allocation must be considered in resource allocation. The goal of resource allocation is to find an optimal strategy, so that within certain transmission resource limit, parameter estimation error is minimized, or resources consumption within the given parameter estimation error limit to a minimum.The paper analyses the current situation of "resource allocation in distributed MIMO radar for target tracking", trying to have a fundamental and comprehensive understanding and awareness of the field. The optimal allocation strategies to meet the tracking performance of different motion states in distributed MIMO radar are discussed. In this paper, the existing research results are classified and summarized, research status is described from three aspects, the advantages of distributed MIMO radar, its target tracking algorithms and resource allocation strategies. Finally, combining research problems and deficiencies, scientific questions for further study are pointed out. The Advantages of Distributed MIMO RadarDistributed MIMO radar system with a plurality of uncorrelated transmit and receive channels, whose transmit and receive antennas are widely spaced, can illuminate the target from different angles, collect the real-time data carrying different amplitude, delay or phase information of the target echo data, using space diversity target...

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“…In [20] a combinatorial optimization approach was used to achieve resource allocation for localization error minimization in multiple radar systems. The CRLB for target location in MIMO radars with collocated antennas was derived in [21], allowing its determinant to be minimized. Joint antenna subset selection and optimal power allocation were also implemented in [22] for localization in MIMO radar sensor networks via convex optimization.…”

Section: Introductionmentioning

confidence: 99%

Multi-Stage Antenna Selection for Adaptive Beamforming in MIMO Radar

Nosrati

Aboutanios

Smith

2020

IEEE Trans. Signal Process.

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Increasing the number of transmit and receive elements in multiple-input-multiple-output (MIMO) antenna arrays imposes a substantial increase in hardware and computational costs. We mitigate this problem by employing a reconfigurable MIMO array where large transmit and receive arrays are multiplexed in a smaller set of k baseband signals. We consider four stages for the MIMO array configuration and propose four different selection strategies to offer dimensionality reduction in post-processing and achieve hardware cost reduction in digital signal processing (DSP) and radio-frequency (RF) stages. We define the problem as a determinant maximization and develop a unified formulation to decouple the joint problem and select antennas/elements in various stages in one integrated problem. We then analyze the performance of the proposed selection approaches and prove that, in terms of the output SINR, a joint transmit-receive selection method performs best followed by matched-filter, hybrid and factored selection methods. The theoretical results are validated numerically, demonstrating that all methods allow an excellent trade-off between performance and cost.

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Optimal Antenna Allocation in MIMO Radars with Collocated Antennas

Cited by 32 publications

References 27 publications

Antenna selection in MIMO radar with collocated antennas

Antenna selection in MIMO radar with collocated antennas

Resource Allocation in Distributed MIMO Radar for Target Tracking

Multi-Stage Antenna Selection for Adaptive Beamforming in MIMO Radar

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