Moving Target Detection Based on Time Reversal in a Multipath Environment

Zhang, Zhaoming; Chen, Baixiao; Yang, Minglei

doi:10.1109/taes.2021.3074131

Cited by 14 publications

(11 citation statements)

References 44 publications

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“…Hence, it can be inferred from (33) that the receive power of the MiBS is a non-central Chi-square distributed random variable having a degree-of-freedom (DoF) of four under H 0 and five under H 1 [46]. Therefore, according to H 0 , the false-alarm probability of the MiBS is expressed as [47]…”

Section: Pod Analysismentioning

confidence: 99%

Performance Analysis and Power Allocation for Cooperative ISAC Networks

Liu

Yang

et al. 2023

IEEE Internet Things J.

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To mitigate the overlapping of the radar and communication frequency bands caused by large-scale devices access, we propose a novel integrated sensing and communication (ISAC) system, where a micro base station (MiBS) simultaneously carries out both target sensing and cooperative communication. Concretely, the MiBS, acting as the sensing equipment, can also serve as a full-duplex decode-and-forward relay to assist end-to-end communication. Moreover, non-orthogonal downlink transmission (NO-DLT) is adopted between the macro base station and the Internet-of-Things devices, so that the spectrum utilization can be further improved. To facilitate the performance evaluation, both the exact and asymptotic outage probabilities, the ergodic rates associated communication, and the probability of successful sensing detection are characterized. Subsequently, a pair of problems of maximizing the receive signal-to-interferenceplus-noise ratio of the sensing signal and maximizing the sum rate of communication are formulated that are solved by the classic Lagrangian method while exploiting the associated function monotonicity. Our simulation results demonstrate that: 1) The proposed ISAC NO-DLT system improves both the communication and sensing performance under the same power consumption as non-cooperative NO-DLT; 2) The proposed power allocation (PA) schemes are superior to the random PA scheme.

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Section: Pod Analysismentioning

confidence: 99%

Performance Analysis and Power Allocation for Cooperative ISAC Networks

Liu

Yang

et al. 2023

IEEE Internet Things J.

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“…Especially when the system resources are limited, the transmission of invalid information will only occupy a limited time slot. For example, in practical applications, managing numerous tagged objects requires fast tracking their frequent rearrangement [9][10][11]. The movement of the tagged object will cause the information of the corresponding tag to change.…”

Section: Introductionmentioning

confidence: 99%

RAEN: Rate Adaptation for Effective Nodes in Backscatter Networks

Zhao

Liu

et al. 2022

Sensors

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A backscatter network, as a key enabling technology for interconnecting plentiful IoT sensing devices, can be applicable to a variety of interesting applications, e.g., wireless sensing and motion tracking. In these scenarios, the vital information-carrying effective nodes always suffer from an extremely low individual reading rate, which results from both unpredictable channel conditions and intense competition from other nodes. In this paper, we propose a rate-adaptation algorithm for effective nodes (RAEN), to improve the throughput of effective nodes, by allowing them to transmit exclusively and work in an appropriate data rate. RAEN works in two stages: (1) RAEN exclusively extracts effective nodes with an identification module and selection module; (2) then, RAEN leverages a trigger mechanism, combined with a random forest-based classifier, to predict the overall optimal rate. As RAEN is fully compatible with the EPC C1G2 standard, we implement the experiment through a commercial reader and multiple RFID tags. Comprehensive experiments show that RAEN improves the throughput of effective nodes by 3×, when 1/6 of the nodes are effective, compared with normal reading. What is more, the throughput of RAEN is better than traditional rate-adaptation methods.

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“…However, it is difficult to accurately estimate the channel statistics, and if there is a significant disturbance in the channel, the strong assumption is that the statistics of the forward and backward channels are consistent and cannot always be guaranteed. The authors in [41] need to know the number of multipaths in the environment in advance, which is difficult to achieve in some scenarios.…”

Section: Introductionmentioning

confidence: 99%

“…Considering a varying channel, which is more realistic, the authors in [39] demonstrated the effectiveness of TR for non-stationary channels from information theory. The authors in [40][41][42][43] developed TR detectors specifically for a single antenna, the multiple-input-multiple-output radar and the multistatic radar under varying channel scenarios. Nevertheless, these detectors are applicable on the premise that the statistical characteristics of the channels remain unchanged, that is, the channels satisfy the complex Gaussian distribution, and the forward and backward channel variances are consistent.…”

Section: Introductionmentioning

confidence: 99%

“…The contributions of the proposed PolTR-GLRT detection include (1) combining the polarisation and TR to improve detection probability, (2) solving the problem of performance degradation of traditional TR detection caused by varying channels, (3) extending the limitations of traditional TR detection on statistical channel characteristics in [40][41][42][43].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Target detection based on time reversal with polarisation array antennas

Zhang

Chen

Yang

et al. 2021

IET Radar Sonar & Navi

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Polarisation diversity radar enhances the performance of target detection. Time reversal exploits the multipath effect by adaptively matching propagation channels to improve the signal-to-noise ratio (SNR) and realise high detectability. This work combines polarisation diversity and time-reversal technology to propose a time-reversal detector suitable for a polarisation array radar. The maximum likelihood estimate is carried out for the timevarying channel response to solve the channel mismatch problem, which may cause the degradation of time-reversal performance. In addition, a conventional polarisation detector is developed under the same varying channel scenario to benchmark the timereversal detector, and furthermore, the SNR gain of the time-reversal detector over the conventional detector is derived. Numerical simulations demonstrate the superiority of the time-reversal detector. Both the polarisation detectors proposed can take advantage of the channel variations to improve the detectability, and the greater the energy brought by the channel changes, the better the detection performance achieved.

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Moving Target Detection Based on Time Reversal in a Multipath Environment

Cited by 14 publications

References 44 publications

Performance Analysis and Power Allocation for Cooperative ISAC Networks

Performance Analysis and Power Allocation for Cooperative ISAC Networks

RAEN: Rate Adaptation for Effective Nodes in Backscatter Networks

Target detection based on time reversal with polarisation array antennas

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