PH-RLS: A Parallel Hybrid Recursive Least Square Algorithm for Self-Mixing Interferometric Laser Sensor

khan, Zohaib Ahmad and hussain, Tassadaq and Zabit, Usman and muhammad, usman and eduard, ayduade PH-RLS: A Parallel Hybrid Recursive Least Square Algorithm for Self-Mixing Interferometric Laser Sensor. IET Optoelectronics. pp. 1-9. ISSN 1751-8768

Text PH-RLS Published IET.pdf - Published Version Restricted to Registered users only Download (980kB)

Abstract

The authors present the parallel‐hybrid recursive least square (PH‐RLS) algorithm for an
accurate self‐mixing interferometric laser vibration sensor coupled with an accelerometer
under industrial conditions. Previously, this was achieved by using a conventional RLS
algorithm to cancel the parasitic vibrations where the sensor itself is not in the stationary
environment. This algorithm operates in sequential mode and due to its compute and
data‐intensive nature, the algorithm does not work for real‐time applications, hence requires parallel computing. Therefore, the existing conventional RLS C program is parallelized by using hybrid OpenACe C/MPI (Open Accelerators/Message Passing
Interface) parallel programming models and tested on Barcelona Supercomputing Center
CTE‐Power9 Supercomputer. The computational performance of the proposed PH‐RLS
algorithm is compared with the existing conventional RLS code by executing on multi
distributed processors and uni‐core processor architecture, respectively. While comparing
the performance of conventional RLS with a PH‐RLS algorithm on eight nodes of CTE‐
Power9 supercomputer, the results show that the PH‐RLS algorithm gets 5857 times of
performance improvement as compared to the conventional RLS implementation on a
single node system. The results show that the proposed PH‐RLS also gives a scalable
performance for a different range of vibration signals, making it a suitable choice for real‐
time self‐mixing interferometer sensing systems working under industrial conditions.

Item Type:	Article
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Electrical Engineering Islamabad
Depositing User:	Mr Zohaib Ahmad Khan
Date Deposited:	05 Apr 2021 09:19
Last Modified:	05 Apr 2021 09:19
URI:	http://research.riphah.edu.pk/id/eprint/1317

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