System Development & Application
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 8
2433-2436

Research on compression sensing acquisition of road roughness based on improved SA-SP algorithm

Cheng Zhun
Lu Zhixiong
College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
DOI: 10.19734/j.issn.1001-3695.2019.04.0086

Abstract

In order to reduce the storage space and improve the acquisition speed of the road roughness signal, this paper carried out the compressive sampling and reconstruction for the roughness signals of standard roads based on the compressed sen-sing theory. Firstly, it verified B grade road roughness signals in the frequency domain with approximate sparsity, and carried out the signals compression sampling. For shortcomings of convex optimization method and three kinds of greedy algorithms at this stage, an algorithm which combined improved simulated annealing algorithm and subspace tracking algorithm could make sparse adaptive matching and complete signal reconstruction. This algorithm used the improved simulated annealing algorithm to get the optimal sparse degree and used subspace tracking algorithm to reconstruct signals fast. The simulation experiments compared 5 kinds of reconstruction methods. The results show that, convex optimization method has higher accuracy, but it takes longer time. OMP and SP algorithm take shorter time, but they need to do pre-experiment in order to estimate the signal's sparse degree and have lower practicality. SAMP algorithm can achieve the adaptive matching of sparse degree, but the ma-tching error is larger, and it takes longer time. The new proposed method has good accuracy and fast execution speed, R-squares and time consuming means are 0.983 7, 2.77 s, sparse estimation is better, and the increase of sampling points does not affect the speed of the algorithm.

Foundation Support

江苏省研究生科研与实践创新计划项目(KYCX17_0647)
国家重点研发计划资助项目(2016YFD0701103)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.04.0086
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 8
Section: System Development & Application
Pages: 2433-2436
Serial Number: 1001-3695(2020)08-040-2433-04

Publish History

[2020-08-05] Printed Article

Cite This Article

程准, 鲁植雄. 改进SA-SP算法的路面不平度信号压缩感知采集研究 [J]. 计算机应用研究, 2020, 37 (8): 2433-2436. (Cheng Zhun, Lu Zhixiong. Research on compression sensing acquisition of road roughness based on improved SA-SP algorithm [J]. Application Research of Computers, 2020, 37 (8): 2433-2436. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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