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Study of Despread-Respread Multitarget Adaptive Algorithms in an AWGN Channel

Title: A Study of Despread-Respread Multitarget Adaptive Algorithms in an AWGN Channel.
Name(s): Connor, Jeffrey D., author
Gross, Frank B., professor directing thesis
Foo, Simon, committee member
Kwan, Bing W., committee member
Department of Electrical and Computer Engineering, degree granting department
Florida State University, degree granting institution
Type of Resource: text
Genre: Text
Issuance: monographic
Date Issued: 2005
Publisher: Florida State University
Place of Publication: Tallahassee, Florida
Physical Form: computer
online resource
Extent: 1 online resource
Language(s): English
Abstract/Description: Typical adaptive algorithms attempt to exploit some characteristic of a desired mobile user's signal incident upon an array of antenna elements to form a blind estimate of the user's signal, wherein this estimate is used to update weights added to each element of the array in order to perform beamsteering. Generally, when mobile user's operate in a CDMA mobile environment two particular characteristics are exploited: 1.) Minimizing the Mean Square Error (MSE) between the array output and the blind estimate of the desired user. 2.) Restoring the constant modulus to the output of the adaptive array corrupted by noise in the channel. These typical adaptive algorithms do not utilize knowledge of the spreading sequences used in a CDMA system, which separate users occupying the same frequency and time channels. However, this knowledge is exploited by Despread-Respread Multitarget Arrays (DRMTA). The four DRMTA algorithms which currently exist are: 1.) Least Squares Despread-Respread Multitarget Constant Modulus Array (LS-DRMTCMA) 2.) Least Squares Despread-Respread Multitarget Array (LS-DRMTA) 3.) Block Based RLS Despread-Respread Multitarget Array (BRLS-DRMTA) 4.) Despread-Respread Kalman Predictor Multitarget Array (DR-KPMTA) The objective of this thesis is to develop a comparison between these four algorithms for a stationary, additive white Gaussian noise (AWGN) channel in a CDMA mobile environment using MATLAB computer simulations for the following metrics: 1.) Analyzing Array Factor Patterns (Beampatterns) 2.) Signal-to-Interference-plus-Noise Ratio (SINR) 3.) Convergence Degree of Weight (CDW) 4.) Bit Error Rate (BER) These comparisons are performed for several different scenarios: - Highly corruptive AWGN channel. - Low SINR environment. - Response to poor initial conditions. - Measuring Convergence characteristics. - Number of users greater than or equal to number of elements in array. - Response to a sudden increase in total number of users in environment - Reduced orthogonality of spreading sequences. - Minimizing MSE by maximizing CDW.
Identifier: FSU_migr_etd-3454 (IID)
Submitted Note: A Thesis submitted to the Department of Electrical and Computer Engineering in partial fulfillment of the requirements for the degree of Master of Science.
Degree Awarded: Spring Semester, 2005.
Date of Defense: April 12, 2005.
Keywords: Frequency Division Multiple Access, FDMA, Frequency Reuse, Frequency Planning, Gold Sequence, Handoff, High Sensitivity Reception, Kalman Filter, Least Squares, Least Mean Squares, LMS, LS-CMA, LS-DRMTA, LS-DRMTCMA, Macro-Cell, Maximal Length Sequences, Mean Square Error, Micro-Cell, Mobile User, Multiple Access, Multiple Access Interference, Narrowband Input Data Model, Phased Arrays, Psuedo-Noise, Psuedo Random Noise, PN Sequence, Recursive Least Squares, RLS, Sample Matrix Inversion, RLS-CMA, SMI, Signal-To-Interference-Plus-Noise Ratio, SINR, Smart Antennas, SDMA, Space Division Multiple Access, Spatial Filtering, Spatial Filtering For Interference Reduction, Spread Spectrum, Steepest Descent, Time Division Multiple Access, TDMA, Two Dimensional Beamformer, Uniform Linear Array, ULA, Walsh Function, Weiner, Array Factor, Adaptive Antenna Arrays, Element Space Beamformer, DR-KPMTA, Despread-Respread Kalman Predictor Multitarget Ar, Direct Sequence Spread Spectrum, Despread-Respread Directing, CDW, Convergence Degree Of Weight, Constant Modulus, CDMA, Code Division Multiple Access, Co-Channel Interference, Channel, Cellular Concept, Butler Matrix, BRLS-DRMTA, Beamforming Matrix, Beamforming Network, Beamsteering, Bit Error Rate, Block RLS Despread-Respread Multitarget Array, Beamforming, Base Station
Bibliography Note: Includes bibliographical references.
Advisory Committee: Frank B. Gross, Professor Directing Thesis; Simon Foo, Committee Member; Bing W. Kwan, Committee Member.
Subject(s): Electrical engineering
Computer engineering
Persistent Link to This Record:
Owner Institution: FSU

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Connor, J. D. (2005). A Study of Despread-Respread Multitarget Adaptive Algorithms in an AWGN Channel. Retrieved from