Low communication parallel distributed adaptive signal processing (LC-PDASP)architecture for processing-inefficient platforms

Authors

HASAN RAZA
GHALIB HUSSAIN
NOOR KHAN

DOI

10.3906/elk-2002-82

Abstract

In this paper, a low communication parallel distributed adaptive signal processing (LC-PDASP) architecturefor a group of computationally incapable and inexpensive small platforms is introduced. The proposed architectureis capable of running computationally high adaptive filtering algorithms parallely with minimally low communicationoverhead. A recursive least square (RLS) adaptive algorithm based on the application of multiple-input multiple-output(MIMO) channel estimation is implemented on the proposed LC-PDASP architecture. Complexity and Communicationburden of proposed LC-PDASP architecture are compared with that of conventional PDASP architecture. The compar-ative analysis shows that the proposed LC-PDASP architecture exhibits low computational complexity and provides animprovement more than of85%reduced communication burden than the conventional PDASP architecture. Moreover,the proposed LC-PDASP architecture provides fast convergence performance in terms of mean square error (MSE) thanthe PDASP architecture.

Keywords

MIMO channel estimation, distributed adaptive filtering, processing e?icient parallel architecture

First Page

663

Last Page

672

Recommended Citation

RAZA, HASAN; HUSSAIN, GHALIB; and KHAN, NOOR (2021) "Low communication parallel distributed adaptive signal processing (LC-PDASP)architecture for processing-inefficient platforms," Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 29: No. 2, Article 12. https://doi.org/10.3906/elk-2002-82
Available at: https://journals.tubitak.gov.tr/elektrik/vol29/iss2/12