SNR-Adaptive Ranging Waveform Design Based on Ziv-Zakai Bound Optimization

Location-awareness is essential in various wireless applications. The capability of performing precise ranging is substantial in achieving high-accuracy localization. Due to the notorious ambiguity phenomenon, optimal ranging waveforms should be adaptive to the signal-to-noise ratio (SNR). In this letter, we propose to use the Ziv-Zakai bound (ZZB) as the ranging performance metric, as well as an associated waveform design algorithm having theoretical guarantee of achieving the optimal ZZB at a given SNR. Numerical results suggest that, in stark contrast to the well-known high-SNR design philosophy, the detection probability of the ranging signal becomes more important than the resolution in the low-SNR regime.

• Publication year

  2023

• Venue

  IEEE Signal Processing Letters

• Publication date

  2023-10-04

• Fields of study

  Mathematics, Computer Science, Engineering

• Identifiers
  DOI 10.1109/LSP.2023.3320893arXiv 2310.02963
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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