Abstract
Terms for the steady-state mean-square error, the optimum step-size, and the corresponding minimum value of the tracking mean-square error of the sign-sign least mean square algorithm for complex-valued data are derived in the work. Moreover, convergence comparison of the least mean square (LMS) algorithm and the sign-sign LMS algorithm for complex-valued data is also presented. Finally, simulation results are presented to support our analytical findings.
Original language | English |
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Title of host publication | 16th International Multi-Conference on Systems, Signals and Devices, SSD 2019 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 262-265 |
Number of pages | 4 |
ISBN (Electronic) | 9781728118208 |
DOIs | |
State | Published - Mar 2019 |
Publication series
Name | 16th International Multi-Conference on Systems, Signals and Devices, SSD 2019 |
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Bibliographical note
Publisher Copyright:© 2019 IEEE.
Keywords
- Complex-valued data
- Steady-State
- Tracking
- sign-sign LMS
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Signal Processing
- Control and Systems Engineering
- Control and Optimization
- Instrumentation