Direct Position Determination of OFDM Signals via Weighted Extension Subspace Data Fusion Method

This paper applies orthogonal frequency division multiplexing (OFDM) signals into direct position determination (DPD) to enhance the channel's ability to resist multipath fading and pulse interference, improve spectrum utilization. Due to differences in signal quality received by observation stations at different locations, this paper introduces the optimal weighting algorithm into direct position determination. This article also uses expanding matrix to get extended subspace data fusion algorithm to form weighted extension subspace data fusion (WE-SDF) method, which improves positioning accuracy. The simulation results show that the weighted extension SDF method has better positioning accuracy than the Maximum Likelihood (ML), extended SDF, SDF, Propagator Method (PM), Capon and two-step positioning algorithm. The complexity of WE-SDF method is lower than Capon and maximum likelihood (ML) algorithm.