References & Further Reading

References

  1. C. Sturm and W. Wiesbeck, Waveform design and signal processing aspects for fusion of wireless communications and radar sensing, 2011

    Foundational paper on OFDM radar, establishing the data-division approach and 2D-FFT range-Doppler processing.

  2. M. Braun, OFDM radar algorithms in mobile communication networks, KIT Scientific Publishing, 2014

    Comprehensive treatment of OFDM radar including ambiguity function analysis, ICI effects, and clutter suppression.

  3. R. Hadani, S. Rakib, M. Tsatsanis, A. Monk, A. J. Goldsmith, A. F. Molisch, and R. Calderbank, Orthogonal time frequency space modulation, 2017

    The original OTFS paper introducing delay-Doppler domain modulation and the symplectic finite Fourier transform.

  4. P. Raviteja, K. T. Phan, and Y. Hong, Embedded pilot-aided channel estimation for OTFS in delay-Doppler channels, 2019

    Practical OTFS channel estimation and fractional Doppler analysis.

  5. L. Gaudio, M. Kobayashi, G. Caire, and G. Colavolpe, On the effectiveness of OTFS for joint radar parameter estimation and communication, 2020

    Rigorous analysis of OTFS for ISAC, including CRB analysis and comparison with OFDM radar.

  6. M. A. Richards, Fundamentals of Radar Signal Processing, McGraw-Hill, 2nd edition, 2014

    Standard reference for ambiguity functions, windowing, matched filtering, and CFAR detection.

  7. J. Overdevest, F. Jansen, F. Laghezza, and A. Filippi, Signal processing for PMCW radar, 2020

    PMCW radar signal processing including code selection and performance comparison with FMCW.

  8. G. Caire, On the illumination and sensing model for RF imaging, 2026

    Internal note unifying diffraction tomography and MIMO radar models. Connects the OFDM/OTFS channel matrix to the Born- approximation forward operator.

  9. J. Zak, Finite translations in solid-state physics, 1967

    Original introduction of the Zak transform in the context of solid-state physics.

  10. W. Yuan, S. Li, Z. Wei, J. Yuan, and D. W. K. Ng, Integrated sensing and communication assisted by RIS, 2021

    Delay-Doppler ISAC framework with RIS assistance, extending the OTFS sensing model.

  11. Y. Chi, L. L. Scharf, A. Pezeshki, and A. R. Calderbank, Sensitivity to basis mismatch in compressed sensing, 2011

    Analysis of grid mismatch in CS with Fourier dictionaries, relevant to OFDM/OTFS sparse recovery.

Further Reading

Resources for readers wanting to go deeper into specific topics.

  • OFDM radar waveform optimisation

    S. Sen and A. Nehorai, 'Adaptive OFDM radar for target detection in multipath scenarios,' IEEE Trans. Signal Processing, vol. 59, no. 1, 2011.

    Extends the OFDM radar model to adaptive waveform design that optimises detection in clutter.

  • Zak transform and Gabor analysis

    K. Grochenig, 'Foundations of Time-Frequency Analysis,' Birkhauser, 2001.

    Rigorous mathematical treatment of the Zak transform, Gabor frames, and the symplectic structure underlying OTFS.

  • OTFS for ISAC beyond the CommIT contribution

    W. Yuan, Z. Wei, J. Yuan, and D. W. K. Ng, 'A survey of OTFS for integrated sensing and communications,' IEEE JSAC, 2023.

    Comprehensive survey of OTFS-ISAC including waveform design, receiver algorithms, and multi-user considerations.

  • Gridless compressed sensing for radar

    G. Tang, B. N. Bhaskar, P. Shah, and B. Recht, 'Compressed sensing off the grid,' IEEE Trans. Inform. Theory, vol. 59, no. 11, 2013.

    Atomic norm minimisation for super-resolution without grid mismatch, applicable to both OFDM and OTFS sensing.

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