DocumentCode
3541534
Title
Detection performance of M-ary relay trees with non-binary message alphabets
Author
Zhang, Zhenliang ; Chong, Edwin K P ; Pezeshki, Ali ; Moran, William ; Howard, Stephen D.
Author_Institution
Dept. of Elec. & Comp. Eng., Colorado State Univ., Fort Collins, CO, USA
fYear
2012
fDate
5-8 Aug. 2012
Firstpage
792
Lastpage
795
Abstract
We study the detection performance of M-ary relay trees, where only the leaves of the tree represent sensors making measurements. The root of the tree represents the fusion center which makes an overall detection decision. Each of the other nodes is a relay node which aggregates M messages sent by its child nodes into a new compressed message and sends the message to its parent node. Building on previous work on the detection performance of M-ary relay trees with binary messages, in this paper we study the case of non-binary relay message alphabets. We characterize the exponent of the error probability with respect to the message alphabet size D, showing how the detection performance increases with D. Our method involves reducing a tree with non-binary relay messages into an equivalent higher-degree tree with only binary messages.
Keywords
distributed sensors; signal detection; trees (mathematics); M-ary relay trees; binary messages; child nodes; detection performance; equivalent higher-degree tree; error probability; nonbinary message alphabets; nonbinary relay message alphabets; overall detection decision; parent node; relay node; root of the tree; tree represent sensors; Conferences; Educational institutions; Error probability; Relays; Sensor fusion; Vegetation; M-ary relay trees; distributed detection; message alphabet;
fLanguage
English
Publisher
ieee
Conference_Titel
Statistical Signal Processing Workshop (SSP), 2012 IEEE
Conference_Location
Ann Arbor, MI
ISSN
pending
Print_ISBN
978-1-4673-0182-4
Electronic_ISBN
pending
Type
conf
DOI
10.1109/SSP.2012.6319824
Filename
6319824
Link To Document