Quantum Enabled Radar Sensing

Jones, John Anthony; Griffiths, D. K.; Kannanthara, Jithin; Jahangir, Mohammed; Antoniou, Michail; Baker, C.J.; Bongs, Kai; Singh, Yeshpal

doi:10.1109/mwp54208.2022.9997763

Cited by 1 publication

(3 citation statements)

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“…In the long term, the radars will utilise photonic microwave oscillators to improve the short term stability of the radars to improve phase noise and overall sensitivity. Then, the optical source within the microwave photonic oscillator can be locked to optical lattice clocks for instance [54, 55], which can be used to improve the long term stability to the levels unprecedented in current radar systems and realise the quantum enabled radar network [18].…”

Section: Discussionmentioning

confidence: 99%

“…The L-band system used in the work presented in this paper, transmits a pulse waveform utilising a 64 element (4 � 16) digital receiver array, which is capable of drone detection up to a range of 5 km [11,14,17,18].…”

Section: Introductionmentioning

confidence: 99%

“…At the University of Birmingham, a network sensor, Advanced Radar Network (ADRAN), is being developed. This overlooks the Birmingham city region [11, 17, 18]. The work presented in this paper demonstrates one of the first examples of L‐band network radar measurement of S‐UAS targets in a cluttered urban environment.…”

Section: Introductionmentioning

confidence: 99%

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Fully digital, urban networked staring radar: Simulation and experimentation

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IET Radar Sonar & Navi

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The application and uses of drones in all areas are continuously rising, especially in civilian use cases. This increasing threat requires reliable drone surveillance in urban environments. Radar is the obvious candidate with its ability to detect small objects at range, in all weather conditions. The use of an L‐band networked radar for urban sensing of S‐UAS targets is explored. Small echoes from S‐UAS places a premium on synchronisation, which is the fundamental key for high performance networked radar. The effect of timing errors on the operation of the network radar is investigated theoretically and experimentally, and the processing tools for synchronising data based on the direct signal returns of the transmitter are developed. Also, drone detection using bistatic L‐band staring radar is achieved both in simulation and then in real field trials where the SNR and detection performance are computed and analysed. The updated direct signal synchronisation method for bistatic staring radar is shown to provide comparable SNR and positional accuracy for S‐UAS targets as the monostatic staring radar.

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Section: Discussionmentioning

confidence: 99%