Applications of antenna arrays to mobile communications. I. Performance improvement, feasibility, and system considerations

Godara, L.C.

doi:10.1109/5.611108

Cited by 654 publications

(259 citation statements)

References 167 publications

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“…The presence of co-channel interference (CCI) degrades the transmission performance. The AAA technique [63], [64] can be used to suppress the CCI and increase the received signal-to-interference plus noise power ratio (SINR). AAA using the pre-FFT weight originally proposed for OFDM signal transmission can be applied to SC with FDE [65].…”

Section: Adaptive Antenna Array (Aaa)mentioning

confidence: 99%

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Adachi

Tomeba

Takeda

2009

IEICE Trans. Commun.

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SUMMARYRecently, frequency-domain equalization (FDE) has been attracting much attention as a way to improve single-carrier (SC) signal transmission in a frequency-selective wireless channel. Since the SC signal spectrum is spread over the entire signal bandwidth, FDE can take advantage of channel frequency-selectivity and achieve the frequency diversity gain. SC with FDE is a promising wireless signal transmission technique. In this article, we review the pioneering research done on SC with FDE. The principles of simple one-tap FDE, channel estimation, and residual intersymbol interference (ISI) cancellation are presented. Multi-input/multioutput (MIMO) is an important technique to improve the transmission performance. Some of the studies on MIMO/SC with FDE are introduced.

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Section: Adaptive Antenna Array (Aaa)mentioning

confidence: 99%

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Adachi

Tomeba

Takeda

2009

IEICE Trans. Commun.

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“…While alternative techniques such as lower noise amplifiers and wider bandwidths can be used to improve the performance of wireless systems, they cannot compare with smart antennas, which essentially merge an antenna array with a digital signal processing (DSP) capability, in terms of enhancing their range, speed, and capacity [1]. The development of low cost DSPs will allow smart antennas also to be used in a wide range of wireless applications such as worldwide interoperability for microwave access (WiMax) and voice over wireless fidelity (VoWi-Fi).…”

Section: Introductionmentioning

confidence: 99%

Displaced Sensor Array for Improved Signal Detection Under Grazing Incidence Conditions

Shubair¹,

Nuaimi²

2008

PIER

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Abstract-This paper proposes a displaced sensor array (DSA) configuration for estimating the angles of arrival of narrowband sources arriving at grazing incidence directions. Unlike the conventional uniform linear array (ULA) where all the array elements are aligned along one axis, the proposed DSA configuration comprises two displaced ULAs aligned on two parallel axes in the vertical plane. The steering vectors of the two parallel arrays differ from each other by only two multiplicative phase terms that represent the space factors due to the vertical separation and horizontal displacement of the two arrays. This makes the computational load of using MUSIC algorithm with the proposed DSA configuration identical to that of ULA yet the accuracy is much higher especially for cases involving narrowband sources arriving at grazing incidence angles. Simulation results obtained show that the proposed DSA configuration outperforms the conventional ULA in terms numerical accuracy and angular resolution.

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“…The ever-increasing demand for mobile communication capacity has motivated the development of adaptive antenna array-assisted spatial processing techniques [1][2][3][4][5][6][7][8][9][10][11][12] in order to further improve the achievable spectral efficiency. A technique that has shown real promise in achieving substantial capacity enhancements is the use of adaptive beamforming with antenna arrays.…”

Section: Introductionmentioning

confidence: 99%

Adaptive beamforming for binary phase shift keying communication systems

2007

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The paper revisits adaptive beamforming assisted receiver for multiple antenna aided multiuser systems that employ binary phase shift keying (BPSK) modulation. The standard minimum mean square error (MMSE) design is based on the criterion of minimising the mean square error (MSE) between the beamformer's desired output and complex-valued beamformer's output. Since the desired output for BPSK systems is real-valued, minimising the MSE between the beamformer's desired output and real-part of the beamformer's output can significantly improve the bit error rate (BER) performance, and we refer to this alternative MMSE design as the real-valued MMSE (RV-MMSE) to contrast to the standard complex-valued MMSE (CV-MMSE) design. The minimum BER (MBER) design however still outperforms the RV-MMSE solution, particularly for overloaded systems where degree of freedom of the antenna array is smaller than the number of BPSK users. Adaptive implementation of this RV-MMSE beamforming design is realised using a least mean square (LMS) type adaptive algorithm, which we refer to as the RV-LMS, in comparison to the standard CV-LMS algorithm. The RV-LMS adaptive beamformer is shown to have a similar computational complexity as the adaptive MBER beamforming implementation known as the least bit error rate (LBER), imposing only half of the computational requirements of the CV-LMS algorithm. r

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Applications of antenna arrays to mobile communications. I. Performance improvement, feasibility, and system considerations

Cited by 654 publications

References 167 publications

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Introduction of Frequency-Domain Signal Processing to Broadband Single-Carrier Transmissions in a Wireless Channel

Displaced Sensor Array for Improved Signal Detection Under Grazing Incidence Conditions

Adaptive beamforming for binary phase shift keying communication systems

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