Gold-MUSIC Based DOA Estimation and Multiuser Detection of DS-CDMA System with Optimal Beamformer ULA Antenna

Abstract

gold-MUSIC based direction of arrival (DOA) estimation and multiuser detection (MUD) overcoming near–far problem are achieved concurrently for direct-sequence code division multiple access (DS-CDMA). The optimal beamformer uniform linear array (ULA) antenna is exploited for mitigating the multiple access interference and increasing signal to noise ratio. Multiple signal classification (MUSIC) algorithms are employed for DOA estimation of equal propagation delay signal sources in the presence of additive white Gaussian noise. Bit error rate (BER) of quadriphase shift keying transmission is taken as analytical reference in emphasizing the performance of CDMA users for different ULA elements. Advantages of gold-MUSIC over Root MUSIC and MUSIC algorithms are established through spatial spectrum, computational efficiency and root mean square error (RMSE) of DOA estimation. Impact of arrival angle, ULA elements and data length on RMSE and algorithm complexity of DOA estimation are also enumerated here. Signal constellation and BER analysis utilizing MUD decision feedback, MUD decorrelator and single-user receivers are investigated for equal DOA and different DOA DS-CDMA sources.