Performance Analysis and Hardware Verification of Feature Detection Using Cyclostationarity in OFDM Signal
As one functionality of the wireless distributed network (WDN) enabling flexible wireless networks, it is supposed that a dynamic spectrum access is applied to OFDM systems for superior radio resource management. As a basic technology for such WDN, our study deals with the OFDM signal detection base...
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Veröffentlicht in: | IEICE Transactions on Communications 2018/10/01, Vol.E101.B(10), pp.2142-2151 |
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creator | NAGAMINE, Akihide KASHIKI, Kanshiro WATANABE, Fumio HIROKAWA, Jiro |
description | As one functionality of the wireless distributed network (WDN) enabling flexible wireless networks, it is supposed that a dynamic spectrum access is applied to OFDM systems for superior radio resource management. As a basic technology for such WDN, our study deals with the OFDM signal detection based on its cyclostationary feature. Previous relevant studies mainly relied on software simulations based on the Monte Carlo method. This paper analytically clarifies the relationship between the design parameters of the detector and its detection performance. The detection performance is formulated by using multiple design parameters including the transfer function of the receive filter. A hardware experiment with radio frequency (RF) signals is also carried out by using the detector consisting of an RF unit and FPGA. Thereby, it is verified that the detection characteristics represented by the false-alarm and non-detection probabilities calculated by the analytical formula agree well with those obtained by the hardware experiment. Our analysis and experiment results are useful for the parameter design of the signal detector to satisfy required performance criteria. |
doi_str_mv | 10.1587/transcom.2017NEP0003 |
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Commun.</addtitle><description>As one functionality of the wireless distributed network (WDN) enabling flexible wireless networks, it is supposed that a dynamic spectrum access is applied to OFDM systems for superior radio resource management. As a basic technology for such WDN, our study deals with the OFDM signal detection based on its cyclostationary feature. Previous relevant studies mainly relied on software simulations based on the Monte Carlo method. This paper analytically clarifies the relationship between the design parameters of the detector and its detection performance. The detection performance is formulated by using multiple design parameters including the transfer function of the receive filter. A hardware experiment with radio frequency (RF) signals is also carried out by using the detector consisting of an RF unit and FPGA. Thereby, it is verified that the detection characteristics represented by the false-alarm and non-detection probabilities calculated by the analytical formula agree well with those obtained by the hardware experiment. Our analysis and experiment results are useful for the parameter design of the signal detector to satisfy required performance criteria.</description><subject>Computer networks</subject><subject>Computer simulation</subject><subject>cyclic autocorrelation function</subject><subject>cyclostationarity</subject><subject>Design parameters</subject><subject>Experiments</subject><subject>False alarms</subject><subject>feature detection</subject><subject>Hardware</subject><subject>hardware implementation</subject><subject>Monte Carlo simulation</subject><subject>OFDM signal</subject><subject>performance analysis</subject><subject>Radio frequency</subject><subject>Radio signals</subject><subject>Resource management</subject><subject>Sensors</subject><subject>Signal detection</subject><subject>Signal detectors</subject><subject>Transfer functions</subject><subject>wireless distributed network</subject><subject>Wireless networks</subject><issn>0916-8516</issn><issn>1745-1345</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNpNkN1PwjAUxRujiYj-Bz408XnY221d94h8iAkKCeJrU7oWS2DDtsTsv3d8qDzdm5PfObn3IHQPpAMpzx6Dk6VX1aZDCWRvgykhJL5ALciSNII4SS9Ri-TAIp4Cu0Y33q8IAU6BttBqqp2p3EaWSuNuKde1tx7LssAj6Ypv6TT-0M4aq2SwVYkrg4dahl2j93XQ6iDOvS2XuFerdeXDgZPOhhrbEk-G_Vc8s8sm-RZdGbn2-u4022g-HLz3RtF48vzS644jldAsRItUcYhZXqiM51mWUlkwwxJSADBOqVLGkHiRyEImirAkZ0YxHkODFbxYQBq30cMxd-uqr532QayqnWsO8ILGhKY54ZQ1VHKklKu8d9qIrbMb6WoBROxbFb-tirNWG9vsaFs1ny71n0m6YNVa_5sGQEA87cNO21nKH60-pRO6jH8A83uLWA</recordid><startdate>20181001</startdate><enddate>20181001</enddate><creator>NAGAMINE, Akihide</creator><creator>KASHIKI, Kanshiro</creator><creator>WATANABE, Fumio</creator><creator>HIROKAWA, Jiro</creator><general>The Institute of Electronics, Information and Communication Engineers</general><general>Japan Science and Technology Agency</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>L7M</scope></search><sort><creationdate>20181001</creationdate><title>Performance Analysis and Hardware Verification of Feature Detection Using Cyclostationarity in OFDM Signal</title><author>NAGAMINE, Akihide ; KASHIKI, Kanshiro ; WATANABE, Fumio ; HIROKAWA, Jiro</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c427t-b5c81369dc7897752ad6f640d116822ccff03b4ada4c06496fc68312add8db153</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Computer networks</topic><topic>Computer simulation</topic><topic>cyclic autocorrelation function</topic><topic>cyclostationarity</topic><topic>Design parameters</topic><topic>Experiments</topic><topic>False alarms</topic><topic>feature detection</topic><topic>Hardware</topic><topic>hardware implementation</topic><topic>Monte Carlo simulation</topic><topic>OFDM signal</topic><topic>performance analysis</topic><topic>Radio frequency</topic><topic>Radio signals</topic><topic>Resource management</topic><topic>Sensors</topic><topic>Signal detection</topic><topic>Signal detectors</topic><topic>Transfer functions</topic><topic>wireless distributed network</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>NAGAMINE, Akihide</creatorcontrib><creatorcontrib>KASHIKI, Kanshiro</creatorcontrib><creatorcontrib>WATANABE, Fumio</creatorcontrib><creatorcontrib>HIROKAWA, Jiro</creatorcontrib><collection>CrossRef</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEICE Transactions on Communications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>NAGAMINE, Akihide</au><au>KASHIKI, Kanshiro</au><au>WATANABE, Fumio</au><au>HIROKAWA, Jiro</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance Analysis and Hardware Verification of Feature Detection Using Cyclostationarity in OFDM Signal</atitle><jtitle>IEICE Transactions on Communications</jtitle><addtitle>IEICE Trans. Commun.</addtitle><date>2018-10-01</date><risdate>2018</risdate><volume>E101.B</volume><issue>10</issue><spage>2142</spage><epage>2151</epage><pages>2142-2151</pages><issn>0916-8516</issn><eissn>1745-1345</eissn><abstract>As one functionality of the wireless distributed network (WDN) enabling flexible wireless networks, it is supposed that a dynamic spectrum access is applied to OFDM systems for superior radio resource management. As a basic technology for such WDN, our study deals with the OFDM signal detection based on its cyclostationary feature. Previous relevant studies mainly relied on software simulations based on the Monte Carlo method. This paper analytically clarifies the relationship between the design parameters of the detector and its detection performance. The detection performance is formulated by using multiple design parameters including the transfer function of the receive filter. A hardware experiment with radio frequency (RF) signals is also carried out by using the detector consisting of an RF unit and FPGA. Thereby, it is verified that the detection characteristics represented by the false-alarm and non-detection probabilities calculated by the analytical formula agree well with those obtained by the hardware experiment. Our analysis and experiment results are useful for the parameter design of the signal detector to satisfy required performance criteria.</abstract><cop>Tokyo</cop><pub>The Institute of Electronics, Information and Communication Engineers</pub><doi>10.1587/transcom.2017NEP0003</doi><tpages>10</tpages></addata></record> |
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subjects | Computer networks Computer simulation cyclic autocorrelation function cyclostationarity Design parameters Experiments False alarms feature detection Hardware hardware implementation Monte Carlo simulation OFDM signal performance analysis Radio frequency Radio signals Resource management Sensors Signal detection Signal detectors Transfer functions wireless distributed network Wireless networks |
title | Performance Analysis and Hardware Verification of Feature Detection Using Cyclostationarity in OFDM Signal |
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