DocumentCode :
2686679
Title :
A framework for analysis of optimal power solutions for smart antennas
Author :
Mehrotra, Rashi ; Bose, Ranjan
Author_Institution :
Dept. of Electr. Eng., Indian Inst. of Technol. Delhi, New Delhi, India
fYear :
2011
fDate :
7-9 Nov. 2011
Firstpage :
1
Lastpage :
4
Abstract :
The objective of this paper is to design smart antenna systems, based on their power consumption for wireless sensor networks using Ghavami and Least Mean Square algorithms. An optimal power solution is proposed for smart antenna system. It has been found that, at larger distances Ghavami algorithm becomes more power-efficient as compared to the LMS algorithm. Gain provided by the latter is counteracted by the power required to run the algorithm at shorter distances. The system is designed for Strong Arm SA-1100 processor platform Thus, power-optimal solutions becomes efficient for LMS below the critical distance and for Ghavami beyond it.
Keywords :
adaptive antenna arrays; least mean squares methods; power consumption; ultra wideband antennas; wireless sensor networks; Ghavami algorithms; UWB sensor; least mean square algorithms; optimal power solution; optimal power solutions; power consumption; smart antennas; strong arm SA-1100 processor platform; ultra-wide band; wireless sensor networks; Algorithm design and analysis; Antennas; Arrays; Computational modeling; Least squares approximation; Power demand; Signal processing algorithms; Smart antenna system; Ultra-Wide Band; critical distance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Microwaves, Communications, Antennas and Electronics Systems (COMCAS), 2011 IEEE International Conference on
Conference_Location :
Tel Aviv
Print_ISBN :
978-1-4577-1692-8
Type :
conf
DOI :
10.1109/COMCAS.2011.6105901
Filename :
6105901
Link To Document :
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