Browsing by Author "Akhtar, Jabran"

Now showing items 1-17 of 17

    • 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 ...

    • A Compressed Sensing Based Design for Formation of Range-Doppler Maps 

      Akhtar, Jabran; Olsen, Karl Erik (2016)
      Compressed sensing (CS) based reconstruction methods have been in much focus over the last years as they provide a mean to work with limited amount of data. In this article we present an application of CS and sparse ...

    • Compressed Sensing for Multistatic Radar Systems with Arbitrary Block Codes 

      Akhtar, Jabran (2015)
      Multistatic radar systems with multiple elements at transmitting and/or receiving side permit multiple target observations from different viewpoints providing various advantageous. In an environment with multiple transmitters ...

    • 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 ...

    • Compressed Sensing with Interleaving Slow-Time Pulses and Hybrid Sparse Image Reconstruction 

      Akhtar, Jabran; Torvik, Børge; Olsen, Karl Erik (2017)
      This paper explores a type of hybrid sparse reconstruction technique for modern multifunction task scheduling radars and on following range-Doppler plots. A compressed sensing (CS) framework is devised to emit and then ...

    • Discrete Fourier Transform with Neural Networks 

      Akhtar, Jabran (2021-12-10)
      The discrete Fourier transform is an important computational tool to retrieve the frequency distribution of a sampled signal. Recent years have also witnessed considerable research activity in neural networks as a mean to ...

    • Formation of Range-Doppler Maps Based on Sparse Reconstruction 

      Akhtar, Jabran; Olsen, Karl Erik (2016)
      This paper presents an application of compressed sensing in a pulsed system, such as a radar or sonar to form range-Doppler maps. Instead of transmitting a train of pulses, we portrait a system where the pulse emission ...

    • Frequency agility radar with overlapping pulses and sparse reconstruction 

      Akhtar, Jabran; Olsen, Karl Erik (2018)
      The use of frequency agility has a proven track record in radar systems. Altering the radar carrier frequency over shorter intervals improves the detection capabilities for slowly fluctuating targets and increases jamming ...

    • GO-CFAR Trained Neural Network Target Detectors 

      Akhtar, Jabran; Olsen, Karl Erik (2019)
      Detecting targets embedded in noise and clutter is an essential task for many radar systems. A competent system must additionally offer high probability of detection with a low false alarm rate and a standard practice is ...

    • High-Resolution Neural Network Processing of LFM Radar Pulses 

      Akhtar, Jabran (2023-05-05)
      In radar applications, the bandwidth of a transmitted pulse determines the range resolution and the ability to disclose densely spaced targets. The processing of radar signals is often carried out through matched filtering ...

    • 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 ...

    • Programvare for modellering og simulering av radar 

      Johnsen, Terje; Akhtar, Jabran (2013-11-01)
      I prosjektet Luftbåren overvåking er det blitt utviklet et program for å modellere ulike typer radarer og kjøre simuleringer i gitt terreng og omgivelser med valgte mål for å beregne en radars ytelse. Programmet er ...

    • Sparse Phase Estimation and Processing of Independent Coherent Processing Intervals 

      Akhtar, Jabran; Torvik, Børge; Olsen, Karl Erik (2017)
      Radars employing electronically steering arrays are capable of instantaneously altering the direction of the beam along with other parameters. This flexibility offers great opportunities to a radar as it may e.g. divide ...

    • 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 ...

    • Target detection in radars using small neural networks 

      Akhtar, Jabran (2022-08-17)
      Target detection is an essential part of radar systems. An important objective in radar target detection is to satisfy two often contradictory requirements: a high probability of detection with a low false alarm rate. ...

    • 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 ...