Implementation of Kalman filter with multicore system on chip using function — Level parallelism

Author(s):  
Mohammad Wadood Majid ◽  
Golrokh Mirzaei ◽  
Mohsin M. Jamali
2018 ◽  
Vol 7 (2.16) ◽  
pp. 57
Author(s):  
G Prasad Acharya ◽  
M Asha Rani

The increased demand for processor-level parallelism has many-folded the challenges for SoC designers to design, simulate and verify/validate today’s Multi-core System-On-Chip (SoC) due to the increased system complexity. There is also a need to reduce the design cycle time to produce a complex multi-core SOC system thereby the product can be brought into the market within an affordable time. The Computer-Aided Design (CAD) tools and Field Programmable Gate Arrays (FPGAs) provide a solution for rapidly prototyping and validating the system. This paper presents an implementation of multi-core SoC consisting of 6 Xilinx Micro-Blaze soft-core processors integrated to the Zynq Processing System (PS) using IP Integrator and these cores will be communicated through AXI bus. The functionality of the system is verified using Micro-Blaze system debugger. The hardware framework for the implemented system is implemented and verified on FPGA.  


2018 ◽  
Vol 65 (8) ◽  
pp. 1094-1098 ◽  
Author(s):  
Antonio Pullini ◽  
Francesco Conti ◽  
Davide Rossi ◽  
Igor Loi ◽  
Michael Gautschi ◽  
...  

Author(s):  
Andrea Cazzaniga ◽  
Gianluca Durelli ◽  
Christian Pilato ◽  
Donatella Sciuto ◽  
Marco D. Santambrogio

2013 ◽  
Vol 694-697 ◽  
pp. 2656-2659
Author(s):  
Qing Zhen Zhang ◽  
Peng Long Jiang ◽  
Zhun Liu ◽  
Cong Wang ◽  
Fei Tao

Kalman filter is one of the most effective methods to recover the signal influenced by noise. Kalman filter algorithm is implemented by the MicroBlaze embedded in SoC (System on Chip) system. A software platform for validating the algorithm is proposed and a case study is given to illustrate its application.


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