Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access
In this work, we analyze the convergence of constant modulus algorithm (CMA) in blindly recovering multiple signals to facilitate grant-free wireless access. The CMA typically solves a non-convex problem by utilizing stochastic gradient descent. The iterative convergence of CMA can be affected by ad...
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| Vydané v: | IEEE transactions on signal processing Ročník 69; s. 6515 - 6529 |
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| Hlavní autori: | , |
| Médium: | Journal Article |
| Jazyk: | English |
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New York
IEEE
2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Abstract | In this work, we analyze the convergence of constant modulus algorithm (CMA) in blindly recovering multiple signals to facilitate grant-free wireless access. The CMA typically solves a non-convex problem by utilizing stochastic gradient descent. The iterative convergence of CMA can be affected by additive channel noise and finite number of samples, which is a problem not fully investigated previously. We point out the strong similarity between CMA and the Wirtinger Flow (WF) algorithm originally proposed for Phase Retrieval. In light of the convergence proof of WF under limited data samples, we adopt the WF algorithm to implement CMA-based blind signal recovery. We generalize the convergence analysis of WF in the context of CMA-based blind signal recovery. Numerical simulation results also corroborate the analysis. |
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| AbstractList | In this work, we analyze the convergence of constant modulus algorithm (CMA) in blindly recovering multiple signals to facilitate grant-free wireless access. The CMA typically solves a non-convex problem by utilizing stochastic gradient descent. The iterative convergence of CMA can be affected by additive channel noise and finite number of samples, which is a problem not fully investigated previously. We point out the strong similarity between CMA and the Wirtinger Flow (WF) algorithm originally proposed for Phase Retrieval. In light of the convergence proof of WF under limited data samples, we adopt the WF algorithm to implement CMA-based blind signal recovery. We generalize the convergence analysis of WF in the context of CMA-based blind signal recovery. Numerical simulation results also corroborate the analysis. |
| Author | Feres, Carlos Ding, Zhi |
| Author_xml | – sequence: 1 givenname: Carlos orcidid: 0000-0002-3341-0378 surname: Feres fullname: Feres, Carlos email: cjferes@ucdavis.edu organization: Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, US – sequence: 2 givenname: Zhi orcidid: 0000-0002-2649-2125 surname: Ding fullname: Ding, Zhi email: zding@ucdavis.edu organization: Department of Electrical and Computer Engineering, University of California, Davis, Davis, CA, US |
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| SubjectTerms | Algorithms blind signal recovery Channel noise Constant-modulus algorithm Convergence Cost function Heuristic algorithms Internet of Things Iterative methods Minimization Optimization Phase retrieval Recovery Signal processing algorithms Signal reconstruction Wirtinger Flow |
| Title | Wirtinger Flow Meets Constant Modulus Algorithm: Revisiting Signal Recovery for Grant-Free Access |
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