Title :
Blind adaptation algorithms for direct-sequence spread-spectrum CDMA single-user detection
Author :
Zecevic, N. ; Reed, Jeffrey H.
Author_Institution :
Mobile & Portable Radio Res. Group, Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA
Abstract :
Single-user detection techniques mitigate multiple access interference and the near-far problem in direct-sequence spread-spectrum CDMA systems. Trained adaptation algorithms are commonly used to adapt the receivers. Two blind adaptation algorithms, the Griffths´ (1989) algorithm and the linearly constrained constant modulus algorithm (LCCMA), are proposed for this application. Simulation results show a performance greatly superior to that of the conventional receiver and close to the case of trained adaptive receivers. Blind adaptation allows for a much more flexible network design by eliminating the need for a training sequence
Keywords :
Gaussian channels; adaptive signal detection; code division multiple access; interference suppression; pseudonoise codes; radio receivers; radiofrequency interference; signal detection; spread spectrum communication; AWGN channel; blind adaptation algorithms; direct-sequence spread-spectrum CDMA; linearly constrained constant modulus algorithm; multiple access interference; near-far problem; network design; performance; simulation results; single-user detection; trained adaptive receivers; Bit error rate; Detectors; Frequency; Interference constraints; Multiaccess communication; Multiple access interference; Multiuser detection; Pulse modulation; Receivers; Spread spectrum communication;
Conference_Titel :
Vehicular Technology Conference, 1997, IEEE 47th
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-3659-3
DOI :
10.1109/VETEC.1997.605987