DocumentCode :
2579016
Title :
Unbiased signal detection scheme for collaborative wireless sensor network using Opt Space
Author :
Naeem, Muhammad Kamran ; Patwary, Mohammad ; Abdel-Maguid, Mohamed
Author_Institution :
Fac. of Comput., Eng. & Technol., Staffordshire Univ., Stafford, UK
fYear :
2011
fDate :
26-28 Oct. 2011
Firstpage :
1
Lastpage :
5
Abstract :
Energy constrain within wireless sensor network (WSN) while transmitting wireless signal in response to a detected event has been addressed. Significant amount of power is consumed during wireless transmission data from the sensor node compared to the other relevant processing within the node. It is conventional to transmit training symbols to bias the receiver to detect transmitted signal. In this paper, a new unbiased signal detection scheme has been proposed for WSN with distributed beam-forming as well as collaborative transmission. Recently proposed Opt Space Matrix regularization algorithm has been considered. From the simulation result it is observed that the proposed algorithm is robust and consistent for different values of signal to leakage ratio (SLR). Moreover, it is found that the proposed signal detection scheme outperforms few of the existing algorithms of the similar purpose.
Keywords :
array signal processing; matrix algebra; signal detection; wireless sensor networks; OptSpace matrix regularization algorithm; collaborative transmission; collaborative wireless sensor network; distributed beamforming; energy constrain; sensor node; signal to leakage ratio; training symbols; unbiased signal detection scheme; wireless signal; wireless transmission data; Channel estimation; Collaboration; Receivers; Signal detection; Vectors; Wireless communication; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless and Mobile Networking Conference (WMNC), 2011 4th Joint IFIP
Conference_Location :
Toulouse
Print_ISBN :
978-1-4577-1192-3
Electronic_ISBN :
978-1-4577-1191-6
Type :
conf
DOI :
10.1109/WMNC.2011.6097226
Filename :
6097226
Link To Document :
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