Threshold selection for UWB TOA estimation based on kurtosis analysis
In this letter, a normalized threshold selection technique for time of arrival estimation of ultra-wideband signals is proposed. It exploits the kurtosis of the received signal samples. The dependency between the kurtosis and optimal normalized threshold are investigated via simulations. The propose...
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Veröffentlicht in: | IEEE communications letters 2005-12, Vol.9 (12), p.1025-1027 |
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description | In this letter, a normalized threshold selection technique for time of arrival estimation of ultra-wideband signals is proposed. It exploits the kurtosis of the received signal samples. The dependency between the kurtosis and optimal normalized threshold are investigated via simulations. The proposed technique yields efficient threshold selection, has low complexity and sampling rate requirements, and accounts both the signal to noise ratio and the statistics of individual channel realizations. |
doi_str_mv | 10.1109/LCOMM.2005.1576576 |
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It exploits the kurtosis of the received signal samples. The dependency between the kurtosis and optimal normalized threshold are investigated via simulations. The proposed technique yields efficient threshold selection, has low complexity and sampling rate requirements, and accounts both the signal to noise ratio and the statistics of individual channel realizations.</description><identifier>ISSN: 1089-7798</identifier><identifier>EISSN: 1558-2558</identifier><identifier>DOI: 10.1109/LCOMM.2005.1576576</identifier><identifier>CODEN: ICLEF6</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Applied sciences ; AWGN ; Detection, estimation, filtering, equalization, prediction ; Exact sciences and technology ; Information, signal and communications theory ; Noise level ; Sampling methods ; Signal analysis ; Signal and communications theory ; Signal to noise ratio ; Signal, noise ; Statistics ; Telecommunications and information theory ; Time of arrival estimation ; Timing ; Ultra wideband technology ; Yield estimation</subject><ispartof>IEEE communications letters, 2005-12, Vol.9 (12), p.1025-1027</ispartof><rights>2006 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2005</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c421t-6147f24f1a8ca18b7e9f37c4cf52688b7c34bdf6ed1e736077dab3c47e33442e3</citedby><cites>FETCH-LOGICAL-c421t-6147f24f1a8ca18b7e9f37c4cf52688b7c34bdf6ed1e736077dab3c47e33442e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1576576$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1576576$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17339084$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Guvenc, I.</creatorcontrib><creatorcontrib>Sahinoglu, Z.</creatorcontrib><title>Threshold selection for UWB TOA estimation based on kurtosis analysis</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>In this letter, a normalized threshold selection technique for time of arrival estimation of ultra-wideband signals is proposed. It exploits the kurtosis of the received signal samples. The dependency between the kurtosis and optimal normalized threshold are investigated via simulations. The proposed technique yields efficient threshold selection, has low complexity and sampling rate requirements, and accounts both the signal to noise ratio and the statistics of individual channel realizations.</description><subject>Applied sciences</subject><subject>AWGN</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Noise level</subject><subject>Sampling methods</subject><subject>Signal analysis</subject><subject>Signal and communications theory</subject><subject>Signal to noise ratio</subject><subject>Signal, noise</subject><subject>Statistics</subject><subject>Telecommunications and information theory</subject><subject>Time of arrival estimation</subject><subject>Timing</subject><subject>Ultra wideband technology</subject><subject>Yield estimation</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkF1LwzAUhoMoOKd_QG-KoHed-WqTXs4xP2BjNxtehjQ9YZ1dM5P1Yv_ebCsIQkjeJM95OedF6J7gESG4eJlNFvP5iGKcjUgm8rgu0IBkmUxp3C6jxrJIhSjkNboJYYMxljQjAzRdrj2EtWuqJEADZl-7NrHOJ6uv12S5GCcQ9vVWn55LHaBKovju_N6FOiS61c0hilt0ZXUT4K4_h2j1Nl1OPtLZ4v1zMp6lhlOyT3PChaXcEi2NJrIUUFgmDDc2o7mMd8N4WdkcKgKC5ViISpfMcAGMcU6BDdHz2Xfn3U8XW1PbOhhoGt2C64KiMs5J8iKCj__Ajet87DYoKaNXnmEeIXqGjHcheLBq5-Os_qAIVsdY1SlWdYxV9bHGoqfeWQejG-t1a-rwVykYK7A8mj-cuRoA_r57l19qZn_7</recordid><startdate>20051201</startdate><enddate>20051201</enddate><creator>Guvenc, I.</creator><creator>Sahinoglu, Z.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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subjects | Applied sciences AWGN Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Noise level Sampling methods Signal analysis Signal and communications theory Signal to noise ratio Signal, noise Statistics Telecommunications and information theory Time of arrival estimation Timing Ultra wideband technology Yield estimation |
title | Threshold selection for UWB TOA estimation based on kurtosis analysis |
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