Processing-Efficient Distributed Adaptive RLS Filtering for Computationally Constrained Platforms
Joint Authors
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-05-31
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, a novel processing-efficient architecture of a group of inexpensive and computationally incapable small platforms is proposed for a parallely distributed adaptive signal processing (PDASP) operation.
The proposed architecture runs computationally expensive procedures like complex adaptive recursive least square (RLS) algorithm cooperatively.
The proposed PDASP architecture operates properly even if perfect time alignment among the participating platforms is not available.
An RLS algorithm with the application of MIMO channel estimation is deployed on the proposed architecture.
Complexity and processing time of the PDASP scheme with MIMO RLS algorithm are compared with sequentially operated MIMO RLS algorithm and liner Kalman filter.
It is observed that PDASP scheme exhibits much lesser computational complexity parallely than the sequential MIMO RLS algorithm as well as Kalman filter.
Moreover, the proposed architecture provides an improvement of 95.83% and 82.29% decreased processing time parallely compared to the sequentially operated Kalman filter and MIMO RLS algorithm for low doppler rate, respectively.
Likewise, for high doppler rate, the proposed architecture entails an improvement of 94.12% and 77.28% decreased processing time compared to the Kalman and RLS algorithms, respectively.
American Psychological Association (APA)
Khan, Noor M.& Raza, Hasan. 2017. Processing-Efficient Distributed Adaptive RLS Filtering for Computationally Constrained Platforms. Wireless Communications and Mobile Computing،Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1205595
Modern Language Association (MLA)
Khan, Noor M.& Raza, Hasan. Processing-Efficient Distributed Adaptive RLS Filtering for Computationally Constrained Platforms. Wireless Communications and Mobile Computing No. 2017 (2017), pp.1-7.
https://search.emarefa.net/detail/BIM-1205595
American Medical Association (AMA)
Khan, Noor M.& Raza, Hasan. Processing-Efficient Distributed Adaptive RLS Filtering for Computationally Constrained Platforms. Wireless Communications and Mobile Computing. 2017. Vol. 2017, no. 2017, pp.1-7.
https://search.emarefa.net/detail/BIM-1205595
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1205595