A Doppler Modified Multipath Data Association Algorithm for Shipborne High Frequency Hybrid Sky-Surface Wave Radar

Shipborne HF hybrid sky-surface wave radar (HFHSSWR) system contains skywave transmit channel and surface channel. The ionosphere is delaminated and highly uncertain, which causes the sky wave channel to be uncertain, results in multiple measurements for one target and leads to track loss. In addition, due to the size of shipborne receiving platform, the measurement accuracy is low, which leads to the decrease of track filtering accuracy and more serious tack loss. In this paper, we establish a measurement model of Shipborne HF hybrid sky-surface wave radar. Based on this model we model the ionospheric height as a Gaussian distribution and introduce this error into the multi-detection model, and then use the fusion Doppler to modify the feasible joint probability of the multi-detection model JPDA. In the end, simulation experiments are conducted. The results show that the algorithm proposed in this paper effectively improves the filtering accuracy and reduces the loss rate of the trajectory.