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.

翻译：位置感知在各种无线应用中至关重要。实现高精度定位的关键在于具备精确测距的能力。由于存在显著的模糊现象，最优测距波形应能自适应信噪比（SNR）。本文提出采用芝-扎凯界（ZZB）作为测距性能指标，并关联一种波形设计算法，该算法理论上保证在给定信噪比下实现最优ZZB。数值结果表明，与经典的高信噪比设计理念截然不同，在低信噪比区域，测距信号的检测概率比分辨率更为重要。