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    Compressed sensing og sparse rekonstruksjon i radarsammenheng 

    Akhtar, Jabran (2020-09-25)
    Denne rapporten gir en kort gjennomgang av de viktigste prinsippene bak compressed sensing og vurderer noen mulige anvendelser i radarsammenheng. Compressed sensing er en metodikk som kan anvendes for å samle inn og ...

    Training of Neural Network Target Detectors Mentored by SO-CFAR 

    Akhtar, Jabran (2020)
    A desirable objective in radar detection theory is the ability to detect and recognize targets in intricate scenarios such as in the presence of clutter or multiple closely spaced targets. Herein we propose the use of ...

    Sparse range-Doppler image construction with neural networks 

    Akhtar, Jabran (2020-06-11)
    The principles outlined by compressed sensing can permit a sensor to collect reduced amount of data and still reconstruct an exact outcome. This can for example be used to generate super-resolution sparse range-Doppler ...

    Maskinlæring og gruppeantenner i moderne radarsystemer 

    Akhtar, Jabran; Strøm, Kyrre (2021-02-26)
    Denne rapporten presenterer enkelte resultater fra siste del av FFI-prosjektet Operativ radarytelse II (OPRA II), hvor den potensielle anvendelsen av maskinlæring og nevrale nettverk i moderne radarsystemer er blitt ...

    A neural network framework for binary classification of radar detections. 

    Akhtar, Jabran (2021-09-17)
    A desired objective in radar target detection is to satisfy two very contradictory requirements: offer a high probability of detection with a low false alarm rate. In this paper, we propose the utilization of artificial ...

    Augmenting Radar Doppler Resolution with Neural Networks 

    Akhtar, Jabran (2021-12-08)
    In order to generate high-resolution Doppler profiles a radar needs to emit a large number of pulses within a coherent processing interval (CPI). For a radar operating in demanding scenarios it can be difficult to sustain ...

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    Akhtar, Jabran (6)
    Strøm, Kyrre (1)Date Issued2021 (3)2020 (3)

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