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