Space-Borne Multifunctional Integrated Hardware Processing Platform Design

Author(s):  
Yi-Fan Ping ◽  
Su-jun Wang ◽  
Wei Wen ◽  
Chang-zhi Xu ◽  
Ying-zhao Shao
2014 ◽  
Vol 599-601 ◽  
pp. 1169-1173
Author(s):  
Cheng Da Xu ◽  
Hong Xu Ma

In order to solve the inaccuracy and slowness of four-rotor aircraft pose estimation, a fast method is proposed. It uses FPGA+DSP as the hardware processing platform to reduce the overhead time and adopts the theory of Harris corner detection to gain the corner points’ coordinate and gray values. Then the pose of four-rotor aircraft can be calculated. The result of experiment shows that the method could estimate the pose of four-rotor aircraft accurately.


Electronics ◽  
2021 ◽  
Vol 10 (9) ◽  
pp. 1106
Author(s):  
Vladimir L. Petrović ◽  
Dragomir M. El Mezeni ◽  
Andreja Radošević

Quasi-cyclic low-density parity-check (QC–LDPC) codes are introduced as a physical channel coding solution for data channels in 5G new radio (5G NR). Depending on the use case scenario, this standard proposes the usage of a wide variety of codes, which imposes the need for high encoder flexibility. LDPC codes from 5G NR have a convenient structure and can be efficiently encoded using forward substitution and without computationally intensive multiplications with dense matrices. However, the state-of-the-art solutions for encoder hardware implementation can be inefficient since many hardware processing units stay idle during the encoding process. This paper proposes a novel partially parallel architecture that can provide high hardware usage efficiency (HUE) while achieving encoder flexibility and support for all 5G NR codes. The proposed architecture includes a flexible circular shifting network, which is capable of shifting a single large bit vector or multiple smaller bit vectors depending on the code. The encoder architecture was built around the shifter in a way that multiple parity check matrix elements can be processed in parallel for short codes, thus providing almost the same level of parallelism as for long codes. The processing schedule was optimized for minimal encoding time using the genetic algorithm. The optimized encoder provided high throughputs, low latency, and up-to-date the best HUE.


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