Simplified Direct Search Method for Constrained Nonlinear Mixed-Integer Programming of Two-Dwell Serial Acquisition Schemes
We study constrained optimization of two-dwell serial acquisition schemes in this letter. A noncoherent detector with full-period correlation (FPC) is investigated. The mathematical problem is to minimize a cost function (the mean acquisition time) depending on four parameters (two dwell durations a...
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Veröffentlicht in: | IEEE communications letters 2011-06, Vol.15 (6), p.674-676 |
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creator | Xiao, Zhenyu Jin, Depeng Su, Li Zeng, Lieguang |
description | We study constrained optimization of two-dwell serial acquisition schemes in this letter. A noncoherent detector with full-period correlation (FPC) is investigated. The mathematical problem is to minimize a cost function (the mean acquisition time) depending on four parameters (two dwell durations and two thresholds) with two constraints (the false alarm probability and the miss detection probability), which is a nonlinear mixed-integer programming (NLMIP) problem. The contribution of this letter is to simplify the expressions of the cost function and constraints, and to narrow the search range, so as to make the direct search method applicable to solve this NLMIP problem. |
doi_str_mv | 10.1109/LCOMM.2011.050311.102216 |
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A noncoherent detector with full-period correlation (FPC) is investigated. The mathematical problem is to minimize a cost function (the mean acquisition time) depending on four parameters (two dwell durations and two thresholds) with two constraints (the false alarm probability and the miss detection probability), which is a nonlinear mixed-integer programming (NLMIP) problem. 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(IEEE) Jun 2011</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-ceaab1a6c6a6b564416070fbeb9f3d3e1e3f7bd36ab3a7db72185063e9e622863</citedby><cites>FETCH-LOGICAL-c368t-ceaab1a6c6a6b564416070fbeb9f3d3e1e3f7bd36ab3a7db72185063e9e622863</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5764929$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5764929$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=24286040$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Xiao, Zhenyu</creatorcontrib><creatorcontrib>Jin, Depeng</creatorcontrib><creatorcontrib>Su, Li</creatorcontrib><creatorcontrib>Zeng, Lieguang</creatorcontrib><title>Simplified Direct Search Method for Constrained Nonlinear Mixed-Integer Programming of Two-Dwell Serial Acquisition Schemes</title><title>IEEE communications letters</title><addtitle>COML</addtitle><description>We study constrained optimization of two-dwell serial acquisition schemes in this letter. A noncoherent detector with full-period correlation (FPC) is investigated. The mathematical problem is to minimize a cost function (the mean acquisition time) depending on four parameters (two dwell durations and two thresholds) with two constraints (the false alarm probability and the miss detection probability), which is a nonlinear mixed-integer programming (NLMIP) problem. The contribution of this letter is to simplify the expressions of the cost function and constraints, and to narrow the search range, so as to make the direct search method applicable to solve this NLMIP problem.</description><subject>Acquisition</subject><subject>Acquisitions</subject><subject>Applied sciences</subject><subject>Approximation methods</subject><subject>code synchronization</subject><subject>Complexity theory</subject><subject>constrained optimization</subject><subject>Constraints</subject><subject>Correlation</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Detectors</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Marketing</subject><subject>Mathematical analysis</subject><subject>NLMIP</subject><subject>NLP</subject><subject>nonlinear programming</subject><subject>Nonlinearity</subject><subject>Optimization</subject><subject>Programming</subject><subject>Search methods</subject><subject>Serials</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Telecommunications and information theory</subject><issn>1089-7798</issn><issn>1558-2558</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkU1r3DAQhk1poGnaX9CLKJSevNWHrY9j2KRpYLcJbHoWsjzaVbCljeQlDfnz0dYhh15mBuaZl5d5qwoRvCAEqx-r5c16vaCYkAVuMSuNYEoJf1edkraVNS3lfZmxVLUQSn6oPuZ8jzGWtCWn1fPGj_vBOw89uvAJ7IQ2YJLdoTVMu9gjFxNaxpCnZHwo0O8YhjKYhNb-L_T1dZhgCwndprhNZhx92KLo0N1jrC8eYRiKXPJmQOf24eCzn3wMaGN3MEL-VJ04M2T4_NrPqj8_L--Wv-rVzdX18nxVW8blVFswpiOGW2541_KmIRwL7DrolGM9AwLMia5n3HTMiL4TlMgWcwYKOKWSs7Pq-6y7T_HhAHnSo8-2eDMB4iFrqThRFFNVyK__kffxkEIxp6Vgx39jUSA5QzbFnBM4vU9-NOlJE6yPjP6XiT5moudM9JxJOf32qm-yNYNLJlif3-5pU-ziBhfuy8x5AHhbt4I3qrh8AeihltM</recordid><startdate>20110601</startdate><enddate>20110601</enddate><creator>Xiao, Zhenyu</creator><creator>Jin, Depeng</creator><creator>Su, Li</creator><creator>Zeng, Lieguang</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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A noncoherent detector with full-period correlation (FPC) is investigated. The mathematical problem is to minimize a cost function (the mean acquisition time) depending on four parameters (two dwell durations and two thresholds) with two constraints (the false alarm probability and the miss detection probability), which is a nonlinear mixed-integer programming (NLMIP) problem. The contribution of this letter is to simplify the expressions of the cost function and constraints, and to narrow the search range, so as to make the direct search method applicable to solve this NLMIP problem.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/LCOMM.2011.050311.102216</doi><tpages>3</tpages></addata></record> |
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subjects | Acquisition Acquisitions Applied sciences Approximation methods code synchronization Complexity theory constrained optimization Constraints Correlation Detection, estimation, filtering, equalization, prediction Detectors Exact sciences and technology Information, signal and communications theory Marketing Mathematical analysis NLMIP NLP nonlinear programming Nonlinearity Optimization Programming Search methods Serials Signal and communications theory Signal, noise Telecommunications and information theory |
title | Simplified Direct Search Method for Constrained Nonlinear Mixed-Integer Programming of Two-Dwell Serial Acquisition Schemes |
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