LAUSR

This paper proposes a single-site positioning method for vehicular ad hoc network localization in urban canyon scenarios, where the global navigation satellite system does not provide the required positioning accuracy. The proposed method uses high-resolution estimations of both direction-of-arrival (DOA) and propagation path length (PL) to determine the vehicle position. First, the frequency-domain estimation of signal parameters via a rotational invariance technique algorithm is presented to get multipath DOA estimates, by dealing with the enhanced channel frequency response matrix. Second, the PL estimation is treated as a nonlinear fitting problem, in which the solutions are generated through some substitution means via Newton iteration. Such estimations are then fed to a weighted least squares estimator for calculating the final position estimate, which is robust against the noise and low signal-to-noise ratio. Simulation results show that proposed method surpasses the performance of existing single-site schemes.