Rayleigh vs. CRLB — why “resolution” and “precision” are not the same, and what that means for real-world indoor ranging.
Bluetooth® Channel Sounding enables precise distance estimation by measuring the radio channel across frequency and reconstructing a channel impulse response (CIR). In practice, achievable performance is shaped by two fundamental (and very different) limits:
This page explains both limits in a practical, application-focused way and puts realistic indoor accuracy expectations into context.
Can we separate paths?

The Rayleigh bound describes the minimum separation required to distinguish two signal paths (e.g., direct path and reflection). It depends primarily on the effective bandwidth B:
How precisely can we measure in noise?

CRLB describes the best achievable statistical precision for an (unbiased) estimator in the presence of noise. A simplified takeaway:
Distance precision ∝ 1 / (B × √SNR)
Typical 2-way Rayleigh distance resolution scales approximately with c/(2B). Example values:
Rayleigh does not set the achievable accuracy directly — it sets how well close multipath components can be separated in the CIR.
CRLB depends on both bandwidth and SNR. For ~80 MHz effective span, rule-of-thumb noise-limited distance precision is:
This explains why a system can achieve sub-Rayleigh accuracy in clean LOS conditions: the Rayleigh bound limits path separability, while CRLB limits noise-driven precision.
Bandwidth influences both resolution and precision. However, SNR sets a fundamental information limit: if useful signal content is buried in noise, no signal processing algorithm can fully recover it. While we can try to improve resolution (e.g., with wider frequency span or multipath-mitigation techniques), low SNR directly limits achievable accuracy.
Office spaces are highly dynamic RF environments: reflections from walls, glass, metal frames, furniture, and people moving around create time-varying multipath, often alongside interference from Wi-Fi and other 2.4 GHz systems. In these conditions, performance is frequently limited more by environmental physics (multipath + interference) than by estimator quality alone. Achieving accuracy within sub-meter in a typical office environment can therefore represent strong performance, even when strict requirements are challenging.
If you’d like to discuss expected performance for your application (accuracy, robustness, power), please contact us.