Title :
Detection of Code Spread OFDM based on 0-1 Integer Quadratic Programming
Author :
Elghariani, A. ; Zoltowski, M.D.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
fDate :
Oct. 29 2012-Nov. 1 2012
Abstract :
In this paper we introduce Integer Quadratic Programming (MIQP) approach to optimally detect QPSK Code Spread OFDM (CS-OFDM) by formulating the problem as a combinatorial optimization problem. The Branch and Bound (BB) algorithm is utilized to solve this integer quadratic programming problem. Furthermore, we propose combined preprocessing steps that can be applied prior to BB so that the computational complexity of the optimum receiver is reduced. The first step in this combination is to detect as much as possible symbols using procedures presented in [9], which is basically based on the gradient of quadratic function. The second step detects the undetected symbols from the first step using MMSE estimator. The result of the latter step will be used to predict the initial upper bound of the BB algorithm. Simulation results show that the proposed preprocessing combination when applied prior to BB provides optimal performance with a significantly reduced computational complexity.
Keywords :
OFDM modulation; combinatorial mathematics; communication complexity; integer programming; mean square error methods; quadratic programming; quadrature phase shift keying; radio receivers; spread spectrum communication; tree searching; 0-1 integer quadratic programming; BB algorithm; CS-OFDM; MIQP; MMSE estimator; QPSK code spread OFDM; branch and bound algorithm; code spread OFDM detection; combinatorial optimization; computational complexity; optimum receiver; quadratic function; symbol detection; Computational complexity; OFDM; Phase shift keying; Quadratic programming; Search problems; Upper bound; Vectors; Branch and Bound; CSOFDM; Computational complexity; Integer Quadratic Programming; MMSE;
Conference_Titel :
MILITARY COMMUNICATIONS CONFERENCE, 2012 - MILCOM 2012
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-1729-0
DOI :
10.1109/MILCOM.2012.6415862