Performance analysis of antenna array calibration and its impact on beamforming: A survey

Zhang, Chen; Ni, Jiqing; Han, Yantao; Du, GaoKe

doi:10.4108/chinacom.2010.157

Cited by 7 publications

(5 citation statements)

References 9 publications

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“…2 In practice, the effective channel taking into account the radio-frequency (RF) circuits of two terminals is not necessarily reciprocal because of the mismatch between the receiver and transmitter RF chains [31]. In order to compensate for the mismatch, several calibration techniques have been proposed [32], [33]. In this paper, we assume perfect calibration.…”

Section: System Modelmentioning

confidence: 99%

“…Although the channel information signal is transmitted from the th antenna, Eve cannot know from which antenna the channel information signal is transmitted because only the relay knows the selected antenna and is randomly chosen from a set . Therefore, Eve estimates the effective fading coefficients as follows: (33) Although (33) includes the effective fading coefficient , it also includes the artificial noise term , which prevents Eve from estimating the effective fading coefficient. In addition, Eve cannot obtain any meaningful information by eavesdropping on the signals transmitted by Alice and Bob because any elements of , , , , and are almost uncorrelated with each other.…”

Section: B Eavesdropping Strategies On Estimation Of Effective Fadinmentioning

confidence: 99%

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Physical-Layer Secret Key Agreement in Two-Way Wireless Relaying Systems

Shimizu

Iwai

Sasaoka

2011

IEEE Trans.Inform.Forensic Secur.

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We consider secret key agreement based on radio propagation characteristics in a two-way relaying system where two legitimate parties named Alice and Bob communicate with each other via a trusted relay. In this system, Alice and Bob share secret keys generated from measured radio propagation characteristics with the help of the relay in the presence of an eavesdropper. We present four secret key agreement schemes: an amplify-and-forward (AF) scheme, a signal-combining amplify-and-forward (SC-AF) scheme, a multiple-access amplify-and-forward (MA-AF) scheme, and an amplify-and-forward with artificial noise (AF with AN) scheme. In these schemes, the basic idea is to share the effective fading coefficients between Alice and Bob and use them as the source of the secret keys. The AF scheme is based on a conventional amplify-and-forward two-way relaying method, whereas in the SC-AF scheme and the MA-AF scheme, we apply the idea of physical-layer network coding to the secret key agreement. In the AF with AN scheme, the relay transmits artificially generated noise, as well as channel information signal, in order to conceal the latter. Simulation results show that the MA-AF scheme outperforms the other schemes in Rayleigh fading channels, whereas the AF with AN scheme is suitable for Rician fading channels.Index Terms-Physical-layer network coding, physical-layer security, radio propagation, secret key agreement, two-way relaying.

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Section: System Modelmentioning

confidence: 99%

Section: B Eavesdropping Strategies On Estimation Of Effective Fadinmentioning

confidence: 99%

Physical-Layer Secret Key Agreement in Two-Way Wireless Relaying Systems

Shimizu

Iwai

Sasaoka

2011

IEEE Trans.Inform.Forensic Secur.

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“…The acquisition of Channel State Information (CSI) as well as the DoA information at the transmit side for transmit BF is different from the way it is done in the receive side. There are mainly two approaches to acquire these information at the transmit side [29]. In the first approach, the receiver estimates the CSI and sends it back to the transmitter via a feedback channel.…”

Section: Direction Of Arrival (Doa) Estimationmentioning

confidence: 99%

“…Although this holds in the propagation channel if the time interval between uplink and downlink is less than the channel coherence time, this may not be true for the effective channel since it also consists of RF paths at the transmitter and receiver and transmit and receive RF chains for each antenna may be different. One solution to address this channel non-reciprocity is to apply a proper calibration method in order to compensate the difference between uplink and downlink [29].…”

Section: Direction Of Arrival (Doa) Estimationmentioning

confidence: 99%

Terminal-Side Interference Mitigation for Spectral Coexistence of Satellite and Terrestrial Systems in Non-Exclusive Ka-band

Sharma

Chatzinotas

Ottersten

2016

34th AIAA International Communications Satellite Systems Conference

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One of the promising solutions to address the spectrum scarcity problem in Satellite Communications (SatComs) is to exploit the use of non-exclusive Ka-band spectrum, which is primarily allocated to terrestrial Fixed Service (FS) microwave links. In this regard, this paper considers the spectral coexistence of FS links with the Fixed Satellite Services (FSS) system both in the downlink and the uplink. Out of several possible solutions to enable this coexistence, this paper deals with the terminal-side Sidelobe (SL) suppression and Beamforming (BF) techniques at the FSS terminal. Starting with a detailed review of existing SL suppression, BF techniques as well as Ka-band terminal status, first, we provide the detailed methodology on the employed raster scan based Direction of Arrival (DoA) estimation method. Subsequently, with the help of numerical results, we provide the performance evaluation of one SL suppression technique and one BF technique, considering a parabolic reflector with an array of auxiliary elements and the array of feeds, respectively. Finally, we discuss several interesting practical aspects to be considered while designing the proposed solutions.

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“…Any errors in the steering vector will lead to signal distortions and degrade the beamforming performance severely. The causes of steering vector error in practical applications include improper array modeling, pointing error, miscalibration, and source motion as well as other effects [6][7][8][9][10]. Robustness with respect to steering vector uncertainties in digital beamformers is desirable.…”

Section: Introductionmentioning

confidence: 99%

A recursive Bayesian beamforming for steering vector uncertainties

Han

Zhang

2013

EURASIP J. Adv. Signal Process.

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A recursive Bayesian approach to narrowband beamforming for an uncertain steering vector of interest signal is presented. In this paper, the interference-plus-noise covariance matrix and signal power are assumed to be known. The steering vector is modeled as a complex Gaussian random vector that characterizes the level of steering vector uncertainty. Applying the Bayesian model, a recursive algorithm for minimum mean square error (MMSE) estimation is developed. It can be viewed as a mixture of conditional MMSE estimates weighted by the posterior probability density function of the random steering vector given the observed data. The proposed recursive Bayesian beamformer can make use of the information about the steering vector brought by all the observed data until the current short-term integration window and can estimate the mean and covariance of the steering vector recursively. Numerical simulations show that the proposed beamformer with the known signal power and interference-plus-noise covariance matrix outperforms the linearly constrained minimum variance, subspace projection, and other three Bayesian beamformers. After convergence, it has similar performance to the optimal Max-SINR beamformer with the true steering vector.

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Performance analysis of antenna array calibration and its impact on beamforming: A survey

Cited by 7 publications

References 9 publications

Physical-Layer Secret Key Agreement in Two-Way Wireless Relaying Systems

Physical-Layer Secret Key Agreement in Two-Way Wireless Relaying Systems

Terminal-Side Interference Mitigation for Spectral Coexistence of Satellite and Terrestrial Systems in Non-Exclusive Ka-band

A recursive Bayesian beamforming for steering vector uncertainties

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