Blind Adaptive Interference Suppression Based on Set-Membership Constrained Constant-Modulus Algorithms With Dynamic Bounds

This work presents blind constrained constant modulus (CCM) adaptive algorithms based on the set-membership filtering (SMF) concept and incorporates dynamic bounds for interference suppression applications. We develop stochastic gradient and recursive least squares type algorithms based on the CCM design criterion in accordance with the specifications of the SMF concept. We also propose a blind framework that includes channel and amplitude estimators that take into account parameter estimation dependency, multiple access interference (MAI) and inter-symbol interference (ISI) to address the important issue of bound specification in multiuser communications. A convergence and tracking analysis of the proposed algorithms is carried out along with the development of analytical expressions to predict their performance. Simulations for a number of scenarios of interest with a DS-CDMA system show that the proposed algorithms outperform previously reported techniques with a smaller number of parameter updates and a reduced risk of overbounding or underbounding.

[1]  K. Kwak,et al.  A modified constrained constant modulus approach to blind adaptive multiuser detection , 2001, IEEE Trans. Commun..

[2]  Martin Haardt,et al.  Blind Adaptive Constrained Constant-Modulus Reduced-Rank Interference Suppression Algorithms Based on Interpolation and Switched Decimation , 2011, IEEE Transactions on Signal Processing.

[3]  Theodore S. Rappaport,et al.  Smart Antennas for Wireless Communications: Is-95 and Third Generation Cdma Applications , 1999 .

[4]  Paulo S. R. Diniz,et al.  Adaptive Filtering: Algorithms and Practical Implementation , 1997 .

[5]  J. R. Deller,et al.  Unifying the landmark developments in optimal bounding ellipsoid identification , 1994 .

[6]  R. D. Lamare,et al.  Adaptive Reduced-Rank Processing Based on Joint and Iterative Interpolation, Decimation, and Filtering , 2009, IEEE Transactions on Signal Processing.

[7]  R. Sampaio-Neto,et al.  Blind adaptive MIMO receivers for space-time block-coded DS-CDMA systems in multipath channels using the constant modulus criterion , 2012, IEEE Transactions on Communications.

[8]  Joaquín Míguez,et al.  A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression , 1998, IEEE Communications Letters.

[9]  Yih-Fang Huang,et al.  Set-membership adaptive equalization and an updator-shared implementation for multiple channel communications systems , 1998, IEEE Trans. Signal Process..

[10]  Michail K. Tsatsanis,et al.  Blind adaptive algorithms for minimum variance CDMA receivers , 2001, IEEE Trans. Commun..

[11]  Martin Haardt,et al.  Blind Adaptive Constrained Reduced-Rank Parameter Estimation Based on Constant Modulus Design for CDMA Interference Suppression , 2008, IEEE Transactions on Signal Processing.

[12]  Fambirai Takawira,et al.  Performance analysis of the linearly constrained constant modulus algorithm-based multiuser detector , 2005, IEEE Transactions on Signal Processing.

[13]  Ali H. Sayed,et al.  A feedback approach to the steady-state performance of fractionally spaced blind adaptive equalizers , 2000, IEEE Trans. Signal Process..

[14]  S. Gazor,et al.  A new NLMS algorithm for slow noise magnitude variation , 2002, IEEE Signal Processing Letters.

[15]  Yih-Fang Huang,et al.  Adaptive interference suppression for CDMA systems with a worst-case error criterion , 2000, IEEE Trans. Signal Process..

[16]  Yunlong Cai,et al.  Low-Complexity Variable Step-Size Mechanism for Code-Constrained Constant Modulus Stochastic Gradient Algorithms Applied to CDMA Interference Suppression , 2007, IEEE Transactions on Signal Processing.

[17]  P. Diniz,et al.  Set-membership affine projection algorithm , 2001, IEEE Signal Processing Letters.

[18]  Ian F. Akyildiz,et al.  Sensor Networks , 2002, Encyclopedia of GIS.

[19]  Andreas Antoniou,et al.  Robust Set-Membership Affine-Projection Adaptive-Filtering Algorithm , 2012, IEEE Transactions on Signal Processing.

[20]  Yih-Fang Huang,et al.  Asymptotically convergent modified recursive least-squares with data-dependent updating and forgetting factor , 1985, 1985 24th IEEE Conference on Decision and Control.

[21]  Majid Nayeri,et al.  Multiweight optimization in OBE algorithms for improved tracking and adaptive identification , 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

[22]  Abbas Jamalipour,et al.  Wireless communications , 2005, GLOBECOM '05. IEEE Global Telecommunications Conference, 2005..

[23]  Yih-Fang Huang,et al.  Frequency-Domain Set-Membership Filtering and Its Applications , 2007, IEEE Transactions on Signal Processing.

[24]  George V. Moustakides,et al.  Adaptive power techniques for blind channel estimation in CDMA systems , 2005, IEEE Transactions on Signal Processing.

[25]  Yih-Fang Huang,et al.  Set-membership adaptive filtering with parameter-dependent error bound tuning , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[26]  John R. Deller,et al.  Convergence Analysis of the Quasi-OBE Algorithm and Performance Implications , 2000 .

[27]  Ali H. Sayed,et al.  A unified approach to the steady-state and tracking analyses of adaptive filters , 2001, IEEE Trans. Signal Process..

[28]  Yih-Fang Huang,et al.  BEACON: an adaptive set-membership filtering technique with sparse updates , 1999, IEEE Trans. Signal Process..

[29]  R. Sampaio-Neto,et al.  Low-complexity variable step-size mechanisms for stochastic gradient algorithms in minimum variance CDMA receivers , 2006, IEEE Transactions on Signal Processing.

[30]  Upamanyu Madhow,et al.  Blind adaptive multiuser detection , 1995, IEEE Trans. Inf. Theory.

[31]  Rodrigo C. de Lamare,et al.  Set-Membership Adaptive Algorithms Based on Time-Varying Error Bounds for CDMA Interference Suppression , 2009, IEEE Transactions on Vehicular Technology.

[32]  Stefan Werner,et al.  Set-membership binormalized data-reusing LMS algorithms , 2003, IEEE Trans. Signal Process..

[33]  Zhengyuan Xu,et al.  Code-constrained blind detection of CDMA signals in multipath channels , 2002, IEEE Signal Processing Letters.

[34]  Rodrigo C. de Lamare,et al.  Blind adaptive code-constrained constant modulus algorithms for CDMA interference suppression in multipath channels , 2005, IEEE Commun. Lett..

[35]  K. Schittkowski,et al.  NONLINEAR PROGRAMMING , 2022 .

[36]  Yih-Fang Huang,et al.  Blind equalization with a deterministic constant modulus cost-a set-membership filtering approach , 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

[37]  Rodrigo C. de Lamare,et al.  Blind Constrained Set-Membership Algorithms with Time- Varying Bounds for CDMA Interference Suppression , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[38]  H. Vincent Poor,et al.  Blind Multiuser Detection: A Subspace Approach , 1998, IEEE Trans. Inf. Theory.

[39]  Shirish Nagaraj,et al.  Set-membership filtering and a set-membership normalized LMS algorithm with an adaptive step size , 1998, IEEE Signal Processing Letters.

[40]  R. D. Lamare.  Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimisation of filters , 2008 .

[41]  Rodrigo C. de Lamare,et al.  Low-Complexity Set-Membership Channel Estimation for Cooperative Wireless Sensor Networks , 2011, IEEE Transactions on Vehicular Technology.

[42]  Rodrigo C. de Lamare,et al.  Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm , 2010, IEEE Transactions on Signal Processing.