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 Jg. 15; H. 6; S. 674 - 676
Hauptverfasser: Xiao, Zhenyu, Jin, Depeng, Su, Li, Zeng, Lieguang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.06.2011
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
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
code synchronization
nonlinear programming
Mixed integer programming
Non linear programming
Synchronization
Acquisition
Search algorithm
Constrained optimization
False alarm rate
Direct method
NLP
Code acquisition
NLMIP
Cost function
Signal detection
ISSN:1089-7798, 1558-2558
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Beschreibung
Zusammenfassung: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.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2011.050311.102216