FPGA-based unscented Kalman filter for target tracking

Mohammad A. AlShabi; Talal Bonny

doi:10.1117/12.2623819

8 June 2022 FPGA-based unscented Kalman filter for target tracking

Mohammad A. AlShabi, Talal Bonny

Proceedings Volume 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI; 121221A (2022) https://doi.org/10.1117/12.2623819
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

In this paper, the unscented Kalman filter (UKF) is used to estimate the states of a vehicle while it is moving on a road with different speed. Field programmer gate array (FPGA) prototyping board is used to implement the filter. The resources of FPGA is optimized using different techniques. The overall filter performance is examined in further details.

Citation Download Citation

Mohammad A. AlShabi and Talal Bonny "FPGA-based unscented Kalman filter for target tracking", Proc. SPIE 12122, Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI, 121221A (8 June 2022); https://doi.org/10.1117/12.2623819

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