In this article, the least square constant modulus algorithm （LSCMA） is combined with the subspace approach and a LSCM_SUB （Subspace） blind adaptive multiuser detection in multipath code division multiple access ...In this article, the least square constant modulus algorithm （LSCMA） is combined with the subspace approach and a LSCM_SUB （Subspace） blind adaptive multiuser detection in multipath code division multiple access （CDMA） channels is presented. The poor performance of LSCMA in the low signal to noise ratio （SNR） is improved by the LSCM_SUB algorithm. The performance of the proposed LSCM_SUB algorithm is compared with that of LSCMA. Simulation results show that the LSCM_SUB algorithm is superior to the LSCMA, especially in the low SNR.展开更多
基金This work was supported by National Natural Science Foundation of China(60472104)scientific start-up research foundation of NJUPT(NY205054)Nature Science Foundation of University in Jiangsu province(04KJB510094).
文摘In this article, the least square constant modulus algorithm （LSCMA） is combined with the subspace approach and a LSCM_SUB （Subspace） blind adaptive multiuser detection in multipath code division multiple access （CDMA） channels is presented. The poor performance of LSCMA in the low signal to noise ratio （SNR） is improved by the LSCM_SUB algorithm. The performance of the proposed LSCM_SUB algorithm is compared with that of LSCMA. Simulation results show that the LSCM_SUB algorithm is superior to the LSCMA, especially in the low SNR.
