Decimeter Level Indoor Localization Using WiFi Channel State Information

Indoor localization using WiFi signal parameters is challenging, with encouraging decimeter results available enough line-of-sight coverage and hardware infrastructure. This paper proposes a new 2-dimensional multiple packets based matrix pencil (2D M-MP) method to estimate the Angle of Arrival (AoA) Time Flight (ToF) on channel state information (CSI). Compared conventional parameter estimation algorithms, this has two advantages. First, 2D M-MP uses discrete Fourier transform (DFT) convert complex computation into real reduce computational complexity significantly without losing accuracy. Second, it accumulates CSI improve accuracy effectively, especially at low values signal-to-noise-ratio (SNR) environment. To verify practicability our proposed method, we set up system in an actual scenario commodity cards which demonstrates that performance better than algorithms can achieve 42 cm indoor hall deployment.