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ISSN 1004-9037
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Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
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      Volume 37 Issue 5, 2022   
    Article

    LOW COMPLEXITY SIGNAL DETECTION ALGORITHM BASED ON THE NOVEL ITERATIVE NEWTON ALGORITHM
    Shekar. Y and Dr. Rahul Mishra
    Journal of Data Acquisition and Processing, 2022, 37 (5): 2021-2034 . 

    Abstract

    In order to solve the problem of massive MIMO detection and calculation of communication system with terahertz, the algorithm signal detection with high-complexity based on iterative Newton algorithm is proposed. By improving the initial matrix in Newton iterative algorithm, the addition of step factor, reduce the computing complexity, and improve the speed of convergence; by adding the adjustment factor, the stability, reliability and scene applications of the algorithm are guaranteed. The simulation results show that compared with the traditional algorithm, the algorithm has lower calculation complexity and faster convergence speed. Thenumber of iterations is 3 times, the MMSE algorithm performance can be approached.

    Keyword

    Massive MIMO, MMSE, Netwon approximation


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ISSN 1004-9037

         

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