Adaptive JSPA in distributed colocated MIMO radar network for multiple targets tracking

Lu, Yilong; Han, Chuang; He, Zishu; Liu, Shuangli; Wang, Yikai

doi:10.1049/iet-rsn.2018.5278

Cited by 25 publications

(18 citation statements)

References 34 publications

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“…Thus, the PCRLB inequality can be written as [30]: is the Bayesian Fisher information matrix (BFIM), and also the inverse of PCRLB. Previously, the PCRLB for the sensor scheduling problem in the netted C-MIMO radar system has already been derived in [3] ( ) ( )…”

Section: B Performance Metricmentioning

confidence: 99%

“…The multistatic radar network has become a vigorous research field recently, given its great spatial diversity over the monostatic radar system [1]- [7]. For the collocated multiple-input multiple-output (C-MIMO) radar network system [3]- [4], each C-MIMO radar can execute multiple radar tasks independently by launching multiple beams simultaneously in the simultaneous multibeam (SM) working mode [8]. Due to its high degree of freedom in waveform design, the C-MIMO radar is suitable and efficient in performing multiple target tracking (MTT) tasks [9]- [12].…”

Section: Introduction a Background And Motivationmentioning

confidence: 99%

“…Regarding the netted C-MIMO system, the relevant research of resource allocation for MTT in the SM working mode is limited, and only appear in [3]- [4] and [14]. Yan et al [3] studied the resource management problem for MTT in the C-MIMO radar network system with the SM working mode initially, and proposed a joint beam and power allocation scheme under the ideal detection conditions. Based on [3], Lu et al [4] further developed a joint scheduling and power allocation (JSPA) scheme with adjustable number of targets.…”

Section: Introduction a Background And Motivationmentioning

confidence: 99%

“…Yan et al [3] studied the resource management problem for MTT in the C-MIMO radar network system with the SM working mode initially, and proposed a joint beam and power allocation scheme under the ideal detection conditions. Based on [3], Lu et al [4] further developed a joint scheduling and power allocation (JSPA) scheme with adjustable number of targets. Yi et al [14] focused on the joint beam and power allocation problem for MTT in the netted C-MIMO radar system, and implemented a distributed fusion architecture based on the covariance intersection fusion to reduce the communication requirements among the C-MIMO radars.…”

Section: Introduction a Background And Motivationmentioning

confidence: 99%

See 3 more Smart Citations

Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

Xie

Zhang

et al. 2020

IEEE Access

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In this paper, an effective solution for adaptive sensor scheduling integrated with power and bandwidth allocation is developed for distributed multiple target tracking (MTT) in the netted collocated multiple-input multiple-output (C-MIMO) radar system. By incorporating a modified particle filter, the predicted posterior Cramé r-Rao lower bound (PCRLB) is calculated. Aiming at improving the sum of target tracking accuracy of location, the predicted PCRLBs of location of multiple targets is derived as the optimization metric. It is shown that the dynamic sensor scheduling is NP-hard, and a convex relaxation technique is adopted for the sensor scheduling. Taking account of the problem of joint power and bandwidth allocation is non-convex, a convex relaxation technique and cycle minimizer algorithm is adopted to convert the non-convex optimization problem into a series of convex problems. After the results of resource allocation are fed back to each node, an adaptive closed-loop system is established. Numerical results demonstrate that the location tracking accuracy can be improved efficiently by the proposed algorithm.

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Section: B Performance Metricmentioning

confidence: 99%

Section: Introduction a Background And Motivationmentioning

confidence: 99%

Section: Introduction a Background And Motivationmentioning

confidence: 99%

Section: Introduction a Background And Motivationmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

Xie

Zhang

et al. 2020

IEEE Access

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“…Compared with monostatic radar, the DMR provides better detection performance against fluctuating target [19], tailored coverage area [20], more accurate target position and velocity estimation [21], [22], richer signal information [23], and increased reliability [23]. A more sophisticated type of DMR is the hybrid colocated/distributed radar network presented in [1], [24]- [27]. In [25], [26], a hybrid radar network composed of one monostatic coherent MIMO radar, one bistatic coherent MIMO radar, and two bistatic phased-array radars was formulated by exploiting the MIMO and phased-array antenna arrays mounted on four airborne moving platforms.…”

Section: B Mimo Radarmentioning

confidence: 99%

Evolution of Netted Radar Systems

Geng

2020

IEEE Access

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The netted radar systems are known for being able to provide higher target detection probabilities, more accurate measurements, and better multi-target tracking performance than the monostatic/bistatic radar systems by exploiting information fusion processing. Simple radar networks made of multiple independent monostatic radars with decentralized processing have been around for several decades. In contrast, sophisticated radar networks with centralized data fusion only emerged during the last few years thanks to the development in high-speed digital processing and precise time/phase synchronization. Although the advanced radar networks offer the potential ability to detect stealth targets and low probability of intercept radar signal, there are many technical challenges to be solved before they could evolve from concepts in the research paper to implementable systems in the real-world. By presenting the various target detection and parameter estimation approaches adopted by the distributed MIMO radar, the passive radar network, the hybrid active-passive radar network, and the MIMO synthetic aperture radar (SAR), we lay out the foundation for the future research to be conducted to solve the key issues limiting the practical performance of these advanced radar networks.

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Resource-saving scheduling scheme for centralized target tracking in multiple radar system under automatic blanket jamming

LI,

WEI,

XIE

et al. 2024

Chinese Journal of Aeronautics

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Adaptive JSPA in distributed colocated MIMO radar network for multiple targets tracking

Cited by 25 publications

References 34 publications

Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

Adaptive Sensor Scheduling and Resource Allocation in Netted Collocated MIMO Radar System for Multi-Target Tracking

Evolution of Netted Radar Systems

Resource-saving scheduling scheme for centralized target tracking in multiple radar system under automatic blanket jamming

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