Radar Target Localization with Multipath Exploitation in Dense Clutter Environments

The performance of classic radar geometry based on the line-of-sight (LOS) signal transmitted from to target in free space is affected by multipath echoes urban areas, where non-line-of-sight (NLOS) signals reflected obstacles are received radar. Based prior information situation, this article proposes a novel two-stage localization algorithm with exploitation dense clutter environment. In offline stage, propagation parameters uniformly distributed samples field view predicted ray-tracing technique. online rough location estimated maximum similarity between measurements and reference at different locations. described likelihood respect all possible associated hypotheses. A gating threshold derived exclude less likely hypotheses reduce computational burden. accurate acquired non-linear least squares (NLS) optimization components. Simulation results various noise conditions show that proposed method provides robust under conditions, pre-calculation ensures real-time algorithm. root mean square error (RMSE) simulation shows advantage over existing method. presented suggest can be applied NLOS applications complex environments.