The blind adaptive multiuser detections based on higher-order statistics （HOS） can obtain higher steady-state decorrelating performance than the conventional linear algorithm under the high SNR con- dition. However,...The blind adaptive multiuser detections based on higher-order statistics （HOS） can obtain higher steady-state decorrelating performance than the conventional linear algorithm under the high SNR con- dition. However, the closed-form analysis for this steady-state performance is scarce due to the com- plication of analyzing the nonlinear updates of the adaptive algorithm. An analysis approach based on ordinary differential equation （ODE） method is proposed to get the closed-form excess mean-square error （EMSE） expression of the HOS-based multiuser detections. The simulation and the comparison verify the results of the analysis.展开更多
基金Supported by the National Natural Science Foundation of China (Grant No. 60432040)the Guangxi Natural Science Foundation (GrantNos. 0731026, 0731025)
文摘The blind adaptive multiuser detections based on higher-order statistics （HOS） can obtain higher steady-state decorrelating performance than the conventional linear algorithm under the high SNR con- dition. However, the closed-form analysis for this steady-state performance is scarce due to the com- plication of analyzing the nonlinear updates of the adaptive algorithm. An analysis approach based on ordinary differential equation （ODE） method is proposed to get the closed-form excess mean-square error （EMSE） expression of the HOS-based multiuser detections. The simulation and the comparison verify the results of the analysis.
