Corpus ID: 168169920

Glancing Through Massive Binary Radio Lenses: Hardware-Aware Interferometry With 1-Bit Sensors

@article{Stein2019GlancingTM,
  title={Glancing Through Massive Binary Radio Lenses: Hardware-Aware Interferometry With 1-Bit Sensors},
  author={Manuel S. Stein},
  journal={ArXiv},
  year={2019},
  volume={abs/1905.12528}
}
  • Manuel S. Stein
  • Published in ArXiv 2019
  • Physics, Computer Science, Engineering, Mathematics
  • Energy consumption and hardware cost of signal digitization together with the management of the resulting data volume form serious issues for high-rate measurement systems with multiple sensors. Switching to binary sensing front-ends results in a resource-efficient layout but is commonly associated with significant distortion due to the nonlinear signal acquisition. In particular, for applications that require to solve high-resolution processing tasks under extreme conditions, it is a widely… CONTINUE READING

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 44 REFERENCES

    Performance analysis for time-of-arrival estimation with oversampled low-complexity 1-bit a/d conversion

    • Manuel S. Stein
    • Mathematics, Computer Science
    • 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • 2017
    VIEW 1 EXCERPT

    Latency Analysis for Sequential Detection in Low-Complexity Binary Radio Systems

    Channel Estimation and Performance Analysis of One-Bit Massive MIMO Systems

    Uplink Performance of Wideband Massive MIMO With One-Bit ADCs