Title :
Noncoherent MMSE interference suppression for DS-CDMA
Author :
Schober, Robert ; Gerstacker, Wolfgang H. ; Lampe, Alexander
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fDate :
4/1/2002 12:00:00 AM
Abstract :
A novel robust noncoherent receiver for minimum mean-squared error (MMSE) interference suppression for direct-sequence code-division multiple access (DS-CDMA) is proposed. The receiver consists of a linear MMSE filter and a decision-feedback differential detector (DF-DD). The performance of the proposed scheme is investigated analytically and by computer simulations. It is shown that the loss compared to coherent MMSE interference suppression is limited and can be made arbitrarily small by increasing the observation window used for calculation of the reference symbol of the DF-DD. Hence, the regarded noncoherent receiver is near-far resistant. For adjustment of the MMSE filter coefficients three noncoherent adaptive algorithms are proposed. In contrast to coherent adaptive algorithms, these noncoherent algorithms have the important advantage that they also converge if the channel phase is time-variant
Keywords :
adaptive signal processing; code division multiple access; differential detection; feedback; filtering theory; interference suppression; least mean squares methods; multiuser channels; radio receivers; radiofrequency interference; spread spectrum communication; time-varying channels; BER; DS-CDMA; MMSE filter coefficients; bit error rate; coherent MMSE interference suppression; computer simulations; decision-feedback differential detector; direct-sequence code-division multiple access; linear MMSE filter; minimum mean-squared error; near-far resistant receiver; noncoherent MMSE interference suppression; noncoherent adaptive algorithms; noncoherent receiver; reference symbol; time-variant channel phase; Adaptive algorithm; Computer errors; Computer simulation; Detectors; Direct-sequence code-division multiple access; Interference suppression; Multiaccess communication; Nonlinear filters; Performance analysis; Robustness;
Journal_Title :
Communications, IEEE Transactions on