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An FPGA-Based Unscented Kalman Filter for System-On-Chip Applications

机译:基于FPGA的片上系统无味卡尔曼滤波器

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摘要

The demand for fast and accurate state estimation in embedded systems has been increasing lately, due at least in part to mobile robotics such as an unmanned aerial vehicle (UAV). The desire to maintain high performance but with compact form factors leads to implementation issues, particularly with more complex systems. A hardware-based approach using field-programmable gate arrays may be able to alleviate these issues but tends to have a more complicated development process than traditional software-based approaches. In order to simplify development and promote portability between embedded applications, a hardware/software codesign of the unscented Kalman filter is presented. An example implementation (N = 18) of the hardware IP core only is presented using the Zynq-7000 XC7Z045 with synthesis, power, and timing results for the 1, 2, 5, and 10 processing-element cases.
机译:最近,至少部分地由于诸如无人飞行器(UAV)的移动机器人技术,对嵌入式系统中的快速和准确的状态估计的需求已经增长。希望保持高性能但具有紧凑的外形尺寸会导致实现问题,尤其是对于更复杂的系统。使用现场可编程门阵列的基于硬件的方法可能能够缓解这些问题,但与传统的基于软件的方法相比,其开发过程往往更复杂。为了简化开发并促进嵌入式应用程序之间的可移植性,提出了无味卡尔曼滤波器的硬件/软件代码。仅使用Zynq-7000 XC7Z045给出了硬件IP内核的示例实现(N = 18),具有针对1、2、5和10个处理元素的情况的合成,功耗和时序结果。

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