Turkish Journal of Electrical Engineering and Computer Sciences
Low communication parallel distributed adaptive signal processing (LC-PDASP)architecture for processing-inefficient platforms
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.
MIMO channel estimation, distributed adaptive filtering, processing e?icient parallel architecture
RAZA, HASAN; HUSSAIN, GHALIB; and KHAN, NOOR
"Low communication parallel distributed adaptive signal processing (LC-PDASP)architecture for processing-inefficient platforms,"
Turkish Journal of Electrical Engineering and Computer Sciences: Vol. 29:
2, Article 12.
Available at: https://journals.tubitak.gov.tr/elektrik/vol29/iss2/12
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