Scanning Measurement Based on FISTA Phase Calibration

Mao, Anlai; Li, Yuanwen; Feng, Daofang; Pan, Wei; Li, Min

doi:10.1109/icicsp54369.2021.9611993

Cited by 2 publications

(1 citation statement)

References 9 publications

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“…EFISTA [16], monotonic FISTA [17], restart FISTA [18,19] and backtracking strategy [20] are also available. There is no doubt that those algorithms can play a larger role in a variety of fields [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

A Faster and More Accurate Iterative Threshold Algorithm for Signal Reconstruction in Compressed Sensing

Wei

Mao

Dai

et al. 2022

Sensors

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Fast iterative soft threshold algorithm (FISTA) is one of the algorithms for the reconstruction part of compressed sensing (CS). However, FISTA cannot meet the increasing demands for accuracy and efficiency in the signal reconstruction. Thus, an improved algorithm (FIPITA, fast iterative parametric improved threshold algorithm) based on mended threshold function, restart adjustment mechanism and parameter adjustment is proposed. The three parameters used to generate the gradient in the FISTA are carefully selected by assessing the impact of them on the performance of the algorithm. The developed threshold function is used to replace the soft threshold function to reduce the reconstruction error and a restart mechanism is added at the end of each iteration to speed up the algorithm. The simulation experiment is carried out on one-dimensional signal and the FISTA, RadaFISTA and RestartFISTA are used as the comparison objects, with the result that in one case, for example, the residual rate of FIPITA is about 6.35% lower than those three and the number of iterations required to achieve the minimum error is also about 102 less than that of FISTA.

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