New Hybrid Multiuser Receiver for DS-UWB Systems

With the development and prosperity of ultra wideband (UWB) technologies, the multiple access UWB system has been a hot research topic. Multiuser detection technique has the potential to enlarge the system capacity in multiple access UWB communication environments. In this paper, a new hybrid multiuser receiver is proposed for DS-UWB system. To implement the hybrid receiver, an improved genetic algorithm (GA) proposed by the author is incorporated with the parallel interference cancellation (PIC) detector to further eliminate the multiuser interference, and provide better detection performance. The improved GA has faster convergence performance, and it adopts a simple but effective population initialization method based on the concept of Hamming sphere solution space, which can make full use of the information delivered by the input chromosome. Simulation results show the proposed new hybrid multiuser receiver possesses better detection performance and near-far resistant ability.

[1]  Behnaam Aazhang,et al.  Multistage detection in asynchronous code-division multiple-access communications , 1990, IEEE Trans. Commun..

[2]  David W. Matolak,et al.  Efficient statistical parallel interference cancellation for DS-CDMA in Rayleigh fading channels , 2007, IEEE Transactions on Wireless Communications.

[3]  Christoph F. Mecklenbräuker,et al.  Iterative CDMA Multiuser Receiver With Soft Decision-Directed Channel Estimation , 2006, IEEE Transactions on Signal Processing.

[4]  Jorma Lilleberg,et al.  Genetic algorithms for multiuser detection in synchronous CDMA , 1997, Proceedings of IEEE International Symposium on Information Theory.

[5]  Jean-Pierre Cances,et al.  DS-OCDMA receivers based on parallel interference cancellation and hard limiters , 2006, IEEE Transactions on Communications.

[6]  Hideki Imai,et al.  Combination of an Adaptive Array Antenna and a Canceller of Interference for Direct-Sequence Spread-Spectrum Multiple-Access System , 1990, IEEE J. Sel. Areas Commun..

[7]  Lajos Hanzo,et al.  Hybrid genetic algorithm based detection schemes for synchronous CDMA systems , 2000, VTC2000-Spring. 2000 IEEE 51st Vehicular Technology Conference Proceedings (Cat. No.00CH37026).

[8]  Wu-Sheng Lu,et al.  A genetic-algorithm-based multiuser detector for multiple-access communications , 1998, ISCAS '98. Proceedings of the 1998 IEEE International Symposium on Circuits and Systems (Cat. No.98CH36187).

[9]  Weihua Zhuang,et al.  Ultra-wideband wireless communications , 2005, Wirel. Commun. Mob. Comput..

[10]  Yuanan Liu,et al.  Generalized Parallel Interference Cancellation With Near-Optimal Detection Performance , 2008, IEEE Transactions on Signal Processing.

[11]  Hideki Imai,et al.  An Adaptive Canceller of Cochannel Interference for Spread-Spectrum Multiple-Access Communication Networks in a Power Line , 1990, IEEE J. Sel. Areas Commun..

[12]  Qinghua Li,et al.  Multiuser detection for DS-CDMA UWB in the home environment , 2002, IEEE J. Sel. Areas Commun..

[13]  Zbigniew Michalewicz,et al.  Genetic algorithms + data structures = evolution programs (3rd ed.) , 1996 .

[14]  T.A. Gulliver,et al.  Recursive multiuser detection for DS-UWB systems , 2005, PACRIM. 2005 IEEE Pacific Rim Conference on Communications, Computers and signal Processing, 2005..

[15]  Moe Z. Win,et al.  Impulse radio multipath characteristics and diversity reception , 1998, ICC '98. 1998 IEEE International Conference on Communications. Conference Record. Affiliated with SUPERCOMM'98 (Cat. No.98CH36220).

[16]  Nazli Güney,et al.  Robust Multiuser Detection for Impulse Radio In Non-Gaussian UWB Channels , 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

[17]  Kadri Hacioglu,et al.  Multiuser detection using a genetic algorithm in CDMA communications systems , 2000, IEEE Trans. Commun..

[18]  L. Kronsjö,et al.  Advances in parallel algorithms , 1992 .

[19]  Lili Lin Hamming Sphere Solution Space Based Genetic Multi-user Detection , 2006, ICONIP.

[20]  Moe Z. Win,et al.  Impulse radio: how it works , 1998, IEEE Communications Letters.

[21]  Zbigniew Michalewicz,et al.  Genetic Algorithms + Data Structures = Evolution Programs , 1996, Springer Berlin Heidelberg.

[22]  Ian Oppermann,et al.  UWB Theory and Applications: Oppermann/UWB: Theory and Applications , 2005 .

[23]  Georgios B. Giannakis,et al.  Ultra-wideband communications: an idea whose time has come , 2003, 2003 4th IEEE Workshop on Signal Processing Advances in Wireless Communications - SPAWC 2003 (IEEE Cat. No.03EX689).

[24]  Maurizio Falcone,et al.  Advances in Parallel Algorithms for the Isaacs Equation , 2005 .

[25]  Sergio Verdú,et al.  Minimum probability of error for asynchronous Gaussian multiple-access channels , 1986, IEEE Trans. Inf. Theory.

[26]  Rahim Tafazolli,et al.  Genetically modified multiuser detection for code division multiple access systems , 2002, IEEE J. Sel. Areas Commun..

[27]  Ramesh Annavajjala,et al.  BER-Optimal Linear Parallel Interference Cancellation for Multicarrier DS-CDMA in Rayleigh Fading , 2007, IEEE Transactions on Communications.

[28]  Hongya Ge,et al.  Low-complexity multiuser detection and reduced-rank Wiener filters for ultra-wideband multiple access , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

[29]  Ian Oppermann,et al.  UWB theory and applications , 2004 .

[30]  Lutz H.-J. Lampe,et al.  Differentially coherent parallel interference cancellation for DS-CDMA , 2005, IEEE Transactions on Wireless Communications.