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Stepped Frequency P...
Stepped Frequency Pulse Compression with Non-Coherent Radar using Deep Learning
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- Karlsson, Alexander (författare)
- KTH,Teknisk informationsvetenskap,SAAB Electronic Warfare Systems, Stockholm Sweden
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- Jansson, Magnus, Professor (författare)
- KTH,Teknisk informationsvetenskap
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- Holter, Henrik (författare)
- SAAB Electronic Warfare Systems, Stockholm Sweden
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(creator_code:org_t)
- Institute of Electrical and Electronics Engineers (IEEE), 2021
- 2021
- Engelska.
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Ingår i: IEEE Transactions on Aerospace and Electronic Systems. - : Institute of Electrical and Electronics Engineers (IEEE). - 0018-9251 .- 1557-9603.
- Relaterad länk:
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https://kth.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- A deep neural network (DNN) is used for achieving subpulse resolution in non-coherent stepped frequency waveform radar. The trade-off between high resolution and long range in radar systems is often addressed using pulse compression, allowing both long pulses and high resolution by increasing the pulse bandwidth. This typically requires a coherent radar. In this study we present a deep learning based solution for achieving subpulse resolution with a non-coherent radar. Our results for such a system are comparable to an equivalent coherent system for SNRs greater than 10 dB. All results are based on simulated data.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
Nyckelord
- Deep learning
- frequency-agile radar
- noncoherent radar
- pulse compression
- supervised learning
- Bandwidth compression
- Deep neural networks
- Economic and social effects
- Holography
- Radar signal processing
- Coherent radar
- Coherent system
- High resolution
- Long pulse
- Stepped frequency
- Stepped frequency waveforms
- Subpulse
- Trade off
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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