Investigation of an Adapted Tracking Scheme for Multi-Frequency Space Observation Radars Based on Data Fusion
Claudio Carloni, Delphine Cerutti‐Maori, I.O. Maouloud, Enrico Stoll · IEEE Transactions on Radar Systems · 2025
This paper analyses the performance of different tracking configurations in order to best combine the data of multiple radar systems operating on different frequencies. A first study aims to understand the improvement obtained by the multi-sensor data fusion when processing the tracking data of a space object with a batch weighted least squares filter. For this, the performance of a batch filter with and without data fusion are compared and discussed. Those results lay the foundations for the second study of the article that examines possible scenarios for a new tracking approach for the Tracking and Imaging Radar (TIRA). This investigation is based on the multi-sensor data fusion between the tracking and the imaging radar of TIRA and it is achieved through a performance analysis of the derived two-step tracking filter. The latter consists of two different tracking filters (an extended Kalman filter and a batch weighted least squares filter) running in parallel and interacting between each other.