Adaptive array methods for mobile communication

Simanapalli, S.

doi:10.1109/vetec.1994.345346

Cited by 15 publications

(4 citation statements)

References 12 publications

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“…Another diversity approach to further improve the system performance is the use of spatial signal processing with an antenna array at a receiver in order to resolve signal rays arriving at different angles of arrival (Simanapalli, 1994;Naguib, Paulraj, & Kailath, 1994;Swales, Beach, Edwards, & McGeehn, 1990;Alamouti, 1998;Yoo & Goldsmith, 2006;Tarokh, Seshadri, & Calderbank, 1998). Using spatial signal processing with antenna arrays, we can achieve an angular diversity gain on top of the time diversity gain in a CDMA based wireless system.…”

Section: Introductionmentioning

confidence: 99%

Joint Angular and Time Diversity of Multi-Antenna CDMA Systems in Wireless Fading Channels

Chen

2011

International Journal of Wireless Networks and Broadband Technologies

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In this paper, a multi-antenna based receiver structure for direct sequence code division multiple access (DS/CDMA) system is proposed. The proposed scheme exploits the excellent time resolution of a CDMA RAKE receiver and uses an antenna array beamforming structure to resolve multipath returns in both angular and time domains. A much higher diversity gain than that based only on the time domain diversity can be achieved. This work suggests a new space-time diversity paradigm, namely angular-time diversity, which differs from traditional Alamouti-type space-time coded schemes. The impairments caused by multipath and multiuser interference are analyzed. The performance of the proposed receiver in multipath fading channel is explicitly evaluated. An expression for uncoded system bit error probability is derived. Simulation results show the performance improvement in terms of BER due to the use of multi-antenna in the receiver, and the results illustrate that the multi-antenna based receiver works effectively in resolving multipaths in both angular and time domains to achieve performance improvement due to angular and time diversity gain provided by the multi-antenna system.

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Section: Introductionmentioning

confidence: 99%

Joint Angular and Time Diversity of Multi-Antenna CDMA Systems in Wireless Fading Channels

Chen

2011

International Journal of Wireless Networks and Broadband Technologies

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“…where n=1, 2, , N, y k . Since the ensemble average is not available in real time, the coefficients can be updated by * 2 [ 1]…”

Section: Beamforming Robust To Directional Errormentioning

confidence: 99%

“…In recent years, exploding demand for wireless communications has led to the use of advanced transceiver techniques to increase the transmission capacity without increasing the bandwidth. One of the advanced techniques is adaptive beamforming, which was proposed to reduce the multipath fading effect and co-channel interference [1][2][3][4]. The signal to interference plus noise ratio (SINR) of the received signal can be improved by the use of beamforming, increasing the system capacity [1][2].…”

Section: Introductionmentioning

confidence: 99%

“…One of the advanced techniques is adaptive beamforming, which was proposed to reduce the multipath fading effect and co-channel interference [1][2][3][4]. The signal to interference plus noise ratio (SINR) of the received signal can be improved by the use of beamforming, increasing the system capacity [1][2]. The most advanced beamforming technique for increasing the capacity is spatial division multiple access (SDMA) technique [3][4].…”

Section: Introductionmentioning

confidence: 99%

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Blind beamforming robust to directional error in fixed wireless channel

Hwang

Lee

12th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2001. Proceedings (Cat. No.01TH859

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Some blind beamformers require the direction of the desired signal. The performance of such type beam-formers can be severely degraded by a small directional error. In this paper, we propose a blind beamforming scheme robust to directional error by employing a simple steering vector estimator. The performance of the proposed beamformer can be further improved by re-initializing the weights of the beamformer.

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