Hardware implementation of the quasi-maximum likelihood estimator core for polynomial phase signals

@article{Brnovic2019HardwareIO,
  title={Hardware implementation of the quasi-maximum likelihood estimator core for polynomial phase signals},
  author={Nevena R. Brnovic and Igor Djurovic and Veselin N. Ivanovic and Marko Simeunovic},
  journal={IET Circuits, Devices & Systems},
  year={2019},
  volume={13},
  pages={131-138}
}
Flexible, multiple-clock-cycle, hardware design for the quasi-maximum likelihood (QML) algorithm core realisation for the polynomial phase signals (PPSs) estimation is proposed. The QML algorithm significantly outperforms existing PPS estimators in terms of accuracy. However, its practical applications require efficient software and hardware systems. The main challenges in the proposed hardware development with respect to existing systems for time–frequency (TF) analysis are realisation of TF… CONTINUE READING

References

Publications referenced by this paper.
SHOWING 1-10 OF 55 REFERENCES

Simeunović, “The STFT-based estimator of micro-Doppler parameters,

I. Djurović, M. V. Popović-Bugarin
  • IEEE Transactions on Aerospace and Electronics Systems,
  • 2017
VIEW 1 EXCERPT

The STFT-Based Estimator of Micro-Doppler Parameters

Igor Djurovie, Vesna Popovic-Bugarin, Marko Simeunovic
  • IEEE Transactions on Aerospace and Electronic Systems
  • 2017

Resolving aliasing effect in the QML estimation of PPSs

  • IEEE Transactions on Aerospace and Electronic Systems
  • 2016

Simeunović, “Resolving aliasing effect in the QML estimation of PPSs,

M. I. Djurović
  • IEEE Transaction on Aerospace and Electronic Systems,
  • 2016