Experimental investigation on target detection and tracking in passive radar using long‐term evolution signal

Abdullah, Rusli; Salah, Asem A.; Ismail, Ahmed; Hashim, Fazirulhisham Bin; Rashid, Nur Emileen Abdul; Aziz, Noor Hafizah Abdul

doi:10.1049/iet-rsn.2015.0346

Cited by 33 publications

(21 citation statements)

References 24 publications

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“…Note that w r and w c can be different temporal parts of the same signal for communications. It has been reported in [30], [31] and other works that communications signals can be used for target detection in passive radar. They can also be different waveforms multiplexed in time, where w r is a conventional radar waveform while w c is a conventional communications waveform.…”

Section: A Time Divisionmentioning

confidence: 99%

“…in the general case, where DP is given by (32), C is given by (31), and other symbols are defined as before. These optimization problems can be solved in the following.…”

Section: B Superpositionmentioning

confidence: 99%

“…for ρ < 0. The maximum rate can then be calculated by using α opt in (31). For P 6 , by taking the first-order derivative of U with respect to α and setting the derivative to zero, one has…”

Section: B Superpositionmentioning

confidence: 99%

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Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Cao

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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Section: A Time Divisionmentioning

confidence: 99%

“…in the general case, where DP is given by (32), C is given by (31), and other symbols are defined as before. These optimization problems can be solved in the following.…”

Section: B Superpositionmentioning

confidence: 99%

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Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Cao

Chen

et al. 2020

IEEE Trans. Veh. Technol.

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“…The basis of not having a dedicated transmitter leads to the system being practically invisible to surveillance. To date, many illuminators of opportunity have been employed by many sources such as: Television Broadcasting [5], FM radio [6], Digital Video and Audio Broadcasting (DAB) [7], satellites [8,9], Global Systems for Mobile communications (GSM) [10] and Long Term Evolution (LTE) [11]. …”

Section: Introductionmentioning

confidence: 99%

Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar

Abdullah

Aziz

Rashid

et al. 2016

Sensors

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The passive bistatic radar (PBR) system can utilize the illuminator of opportunity to enhance radar capability. By utilizing the forward scattering technique and procedure into the specific mode of PBR can provide an improvement in target detection and classification. The system is known as passive Forward Scattering Radar (FSR). The passive FSR system can exploit the peculiar advantage of the enhancement in forward scatter radar cross section (FSRCS) for target detection. Thus, the aim of this paper is to show the feasibility of passive FSR for moving target detection and classification by experimental analysis and results. The signal source is coming from the latest technology of 4G Long-Term Evolution (LTE) base station. A detailed explanation on the passive FSR receiver circuit, the detection scheme and the classification algorithm are given. In addition, the proposed passive FSR circuit employs the self-mixing technique at the receiver; hence the synchronization signal from the transmitter is not required. The experimental results confirm the passive FSR system’s capability for ground target detection and classification. Furthermore, this paper illustrates the first classification result in the passive FSR system. The great potential in the passive FSR system provides a new research area in passive radar that can be used for diverse remote monitoring applications.

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“…These preliminary results motivated us to conduct a further investigation [8] into the feasibility of LTE-based passive radars for detecting a groundmoving target, where a theoretical analysis was conducted on a captured LTE signal in the atmosphere, received from a real LTE Evolved Node B (eNB). This was then followed by a field experiment [9]. Despite the positive results shown, there is still the need for more experimental studies to investigate the extent to which an LTE-based passive radar system is capable of detecting a ground-moving target.…”

mentioning

confidence: 99%

LTE-Based Passive Bistatic Radar System for Detection of Ground-Moving Targets

Abdullah¹,

Salah²,

Ismail³

et al. 2016

ETRI J

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Use of a passive bistatic radar (PBR) system in the surveillance or monitoring of an area has its advantages. For example, a PBR system is able to utilize any available signal of opportunity (for example, broadcasting, communication, or radio navigation signals) for the purposes of surveillance. With this in mind, there are potentially many research areas to be explored; in particular, the capability of signals from existing and future communication systems, such as 4G and 5G. Long‐Term Evolution (LTE) is the world's most current communication system. Given this fact, this paper presents the latest feasibility studies and experimental results from using LTE signals in PBR applications. Details are provided about aspects such as signal characteristics, experimental configurations, and SNR studies. Six experimental scenarios are carried out to investigate the detection performance of our proposed system on ground‐moving targets. The ability to detect is demonstrated through use of the cross‐ambiguity function. The detection results suggest that LTE signals are suitable as a source signal for PBR.

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Experimental investigation on target detection and tracking in passive radar using long‐term evolution signal

Cited by 33 publications

References 24 publications

Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Joint Bi-Static Radar and Communications Designs for Intelligent Transportation

Analysis on Target Detection and Classification in LTE Based Passive Forward Scattering Radar

LTE-Based Passive Bistatic Radar System for Detection of Ground-Moving Targets

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