Blind Reduced-Rank Adaptive Receivers for DS-UWB Systems Based on Joint Iterative Optimization and the Constrained Constant Modulus Criterion

• Published in: IEEE transactions on vehicular technology Vol. 60; no. 6; pp. 2505 - 2518
• Main Authors: Sheng Li, de Lamare, R. C.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01.07.2011; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive systems; Algorithms; Applied sciences; Blind adaptive receiver; Blinds; Coding, codes; constrained constant modulus (CCM); Convergence; Cost function; Covariance matrix; Criteria; Detection, estimation, filtering, equalization, prediction; direct-sequence ultrawideband (DS-UWB) systems; Equations; Exact sciences and technology; Information, signal and communications theory; Interference; interference suppression; Optimization; Radiocommunications; Receivers; reduced-rank methods; Signal and communications theory; Signal, noise; Studies; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Transformations; Transmission and modulation (techniques and equipments); Transmitters. Receivers; Performance evaluation; Parameter estimation; Updating; Iterative method; Stochastic method; Implementation; Optimization; constrained constant modulus (CCM); Coding; Least squares method; Channel estimation; Cost function; direct-sequence ultrawideband (DS-UWB) systems; Direct sequence; Design criterion; Receiver; Blind identification; Blind adaptive receiver; Recursive algorithm; Ultra wide band; Interference suppression; Dimension reduction; Recursive method; Signal processing; System simulation; Timing; reduced-rank methods
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2011.2157844

A novel linear blind adaptive receiver based on joint iterative optimization (JIO) and the constrained-constant-modulus design criterion is proposed for interference suppression in direct-sequence ultrawideband systems. The proposed blind receiver consists of the following two parts: 1) a transformation matrix that performs dimensionality reduction and 2) a reduced-rank filter that produces the output. In the proposed receiver, the transformation matrix and the reduced-rank filter are jointly and iteratively updated to minimize the constant-modulus cost function subject to a constraint. Adaptive implementations for the JIO receiver are developed using the normalized stochastic gradient (NSG) and recursive least squares (RLS) algorithms. To obtain a low-complexity scheme, the columns of the transformation matrix with the RLS algorithm are individually updated. Blind channel estimation algorithms for both versions (i.e., NSG and RLS) are implemented. Assuming perfect timing, the JIO receiver only requires the spreading code of the desired user and the received data. Simulation results show that both versions of the proposed JIO receivers have excellent performance in terms of suppressing the intersymbol interference (ISI) and multiple-access interference (MAI) with low complexity.