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- Title
FPGA Implementation of a Pipelined Kalman Filter for Object Tracking in Two Dimensions.
- Authors
Jonghuy Choi; Yonghyeok Yoon; Taekyeong Song; Sunhee Kim
- Abstract
In a location tracking system for a moving object, accuracy and real-time processing are essential factors. The Kalman filter, as a recursive function, stands out as one of the prominent algorithms for object tracking. It continuously compares measured data with predicted values based on the system characteristics in real-time. Then it corrects the error of the predicted values while considering the noise of both system and measured data. This paper focuses on designing a hardware based Kalman filter for object tracking in two dimensions. Following an analysis of the Kalman filter algorithm, the blocks capable of parallel processing are identified and configured to be processed in parallel, effectively reducing data processing time. The clock speed is enhanced by using the pipeline technique. In addition, the time-sharing technique is applied to increase the utilization of hardware resources and reduce the area. Data was processed at 32-bit floating points to uphold accuracy comparable to software-implemented Kalman filters. The proposed Kalman filter architecture is designed using Verilog HDL and then simulated in Synopsys VCS/Verdi. The accuracy is verified by comparing results with a software based Kalman filter designed using MATLAB. It was implemented using Zynq ZYNQ-7 ZC702 Programmable logic via Xilnix Vivado and can operate at 33MHz. It takes 44 clocks, or 1.32 us, to process one data. Therefore, it was confirmed that the designed Kalman filter hardware is suitable for real-time processing.
- Subjects
VERDI, Giuseppe, 1813-1901; KALMAN filtering; RECURSIVE functions; ARCHITECTURAL design; PARALLEL processing; ELECTRONIC data processing; TRACKING algorithms; OBJECT tracking (Computer vision)
- Publication
International Journal on Advanced Science, Engineering & Information Technology, 2024, Vol 14, Issue 2, p540
- ISSN
2088-5334
- Publication type
Article
- DOI
10.18517/ijaseit.14.2.18504