Frequency-Domain Received Signal Strength for Indoor Visible Light Positioning

Visible Light Positioning (VLP) has emerged as a research hotspot in indoor positioning due to its high precision and strong anti-interference capability. However, the robustness of existing methods in complex noise environments remains to be improved. We proposed a Frequency-domain Received Signal Strength (F-RSS) based on composite frequency-domain noise modeling. The system robustness is significantly improved by enhancing signal power through Fast Fourier Transform (FFT) based frequency-domain separation technology. Simultaneously, a composite noise model integrating phase offset and Additive White Gaussian Noise (AWGN) is established, systematically revealing the impact mechanisms of key parameters, sampling frequency, frequency resolution, and FFT points, on positioning errors for the first time. Furthermore, this study conducts comparative accuracy verification of F-RSS and Frequencydomain Time Difference of Arrival (F-TDOA) technologies under identical scenarios. Simulation results demonstrate that the optimized F-RSS system achieves an average positioning error of 0.55 cm at SNR <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$=30 \text{dB}$</tex>, outperforming the F-TDOA method by approximately 5.5 times.