YAN Wen, XIE Yizhuang, ZHU Bocheng, et al., “Low-Complexity LS Algorithm Using Coordinate Transformation,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 156-159, 2017, doi: 10.1049/cje.2016.10.021
Citation: YAN Wen, XIE Yizhuang, ZHU Bocheng, et al., “Low-Complexity LS Algorithm Using Coordinate Transformation,” Chinese Journal of Electronics, vol. 26, no. 1, pp. 156-159, 2017, doi: 10.1049/cje.2016.10.021

Low-Complexity LS Algorithm Using Coordinate Transformation

doi: 10.1049/cje.2016.10.021
Funds:  This work is supported by the National Natural Science Foundation of China (No.61171194).
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  • Corresponding author: XIE Yizhuang (corresponding author) received B.S. and Ph.D. degrees from Beijing Institute of Technology (BIT) in 2004 and 2009 respectively. From 2009 to 2011, he was postdoctoral researcher at Peking University. He is now a lecturer at School of Information and Electronics, BIT. His research interests are space-borne real-time information processing technology and system architecture design. (Email:xyz551_bit@bit.edu.cn)
  • Received Date: 2015-01-15
  • Rev Recd Date: 2015-10-12
  • Publish Date: 2017-01-10
  • To reduce the computational complexity, decrease hardware resource consumption, and make it practicable, we propose a novel coordinate transformation based low-complexity Least squares (LS) algorithm. The positive integral variable is set as a reference coordinate and coefficients are transformed to be constant. The fitting polynomial in the reference coordinate system can be easily realized with lower complexity. To achieve the fitting curve in the original coordinate system, coordinate transformation is needed. Compared with the conventional LS fitting, our implementation results show that the proposed LS fitting algorithm can greatly reduce hardware resources in the premise of meeting the precision requirements.
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