Lu Zhijun, Ben De, Mao Bonian. Resourc-constrained parallel information processing methods based on reconfigurable technology[J]. Infrared and Laser Engineering, 2016, 45(11): 1126003-1126003(6). DOI: 10.3788/IRLA201645.1126003
Citation: Lu Zhijun, Ben De, Mao Bonian. Resourc-constrained parallel information processing methods based on reconfigurable technology[J]. Infrared and Laser Engineering, 2016, 45(11): 1126003-1126003(6). DOI: 10.3788/IRLA201645.1126003

Resourc-constrained parallel information processing methods based on reconfigurable technology

  • A method of reconfigurable parallel information processing in GNC was proposed for conflicting issues between high calculation performance and low power consumption in information processing of cubesats. An architecture of tightly coupled reconfigurable parallel processing was adopted in the method and complex algorithms which require many iterations and are not suitable for CPU operations in GNC information processing were achieved by dynamically partial reconfigurable unit of the hardware circuit (DPR). A mult-core parallel reconfigurable resource scheduling algorithm based on mutex was adopted in the method and optimized hardware acceleration of the software algorithms was completed through mult-core CPU parallel calls by DPR unit. The experimental results indicate that rea-time information processing of GNC is effectively achieved in cubesats and reduces power consumption up to 50%. The method can be widely used in the field of imformation processing for resourc-constrained satellites and possesses a great application prospect.
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