Robust beamforming for interference rejection in mobile communications

Riba, Jordi-Roger; Goldberg, J.; Vazquez, G.

doi:10.1109/78.552229

Cited by 60 publications

(28 citation statements)

References 5 publications

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“…Because the change of DOA is very small with high probability, suppose that Δθ q obeys normal distribution with a mean of 0 and a variance of ξ 2 q1 (Δθ q ∼ N (0, ξ 2 q1 )), and Δφ q obeys normal distribution with a mean of 0 and a variance of ξ 2 q2 (Δφ q ∼ N (0, ξ 2 q2 )). The above model is used in [15] and [16] to describe the distributed targets and the transmit characteristics of mobile communication. Thus, the mean covariance matrix can be given bȳ…”

Section: Algorithm Formulationmentioning

confidence: 99%

Uca-Nw Algorithm for Space-Time Antijamming

Liu¹,

Zhang²,

Wang³

et al. 2018

PIER M

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Abstract-Space-time antijamming problems cause widespread concern recently in global navigation satellite system. Space-time adaptive procession (STAP) is an effective method to suppress interference signals, which contains two adaptive filters, i.e., spatial filter and temporal filter, and the array pattern can be automatically optimized by adjusting the weights obtained from a prescribed objective function. However, mismatch may occur between adaptive weights and data, due to the change of the interference location when receiver is shaking. In this case, the performance of STAP will degrade dramatically. To solve this problem, an effective nulling widen method based on uniform circular array (named as UCA-NW algorithm) is proposed for space-time antijamming. Through this method, an extension matrix is given to modify the covariance matrix, and the formed null can be broadened from azimuth angle and pitch angle, respectively. Thus, this algorithm can suppress interference signals effectively when the receiver is shaking, and the width of nulls can be controlled easily. Simulation results are presented to verify the feasibility and effectiveness of the proposed algorithm.

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Section: Algorithm Formulationmentioning

confidence: 99%

Uca-Nw Algorithm for Space-Time Antijamming

Liu¹,

Zhang²,

Wang³

et al. 2018

PIER M

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show abstract

“…Two different approaches have been independently developed using this idea. The first one exploits the so-called data-dependent derivative constraints (DDCs) [1], [3], whereas the second one is based on matrix tapers (MTs) [2], [4]. Unfortunately, both of them are ad hoc techniques and, hence, their performance can be unpredictable in scenarios with rapidly moving interferers.…”

Section: Introductionmentioning

confidence: 98%

“…The snapshot vector can be modeled as (2) where and are the interference and noise components, respectively. Here, is the signal waveform, and is the signal steering vector (which is assumed to be precisely known in this section).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Beamforming With Joint Robustness Against Mismatched Signal Steering Vector and Interference Nonstationarity

Vorobyov

Gershman

Luo

et al. 2004

IEEE Signal Process. Lett.

137

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Adaptive beamforming methods degrade in the presence of both signal steering vector errors and interference nonstationarity. We develop a new approach to adaptive beamforming that is jointly robust against these two phenomena. Our beamformer is based on the optimization of the worst case performance. A computationally efficient convex optimization-based algorithm is proposed to compute the beamformer weights. Computer simulations demonstrate that our beamformer has an improved robustness as compared to other popular robust beamforming algorithms.Index Terms-Adaptive beamforming, interference nonstationarity, robustness, second-order cone programming, steering vector errors.

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“…In [29], two NB algorithms as covariance matrix taper methods are defined, and considered as effective robust adaptive beam forming techniques, imparting robustness into adaptive pattern by judicious choice of null placement and width. As for wireless communication, NB was employed in a cellular communication system, particularly an example was given in space division multiple access system for downlink beam forming [30].…”

Section: Podb Methods With Spread Nullsmentioning

confidence: 99%

Distributed beam forming with phase-only control for green cognitive radio networks

Lian

Nikookar

Ligthart

2012

J Wireless Com Network

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Cognitive radio (CR) is an intelligent radio system and is able to share the spectrum with licensed users (LU). By adopting adaptive beam forming techniques, CR can reuse the spectrum with LU via directing main beams towards CR users while displaying nulls towards LU. In this article, we present a new distributed beam forming (DB) technique, and study the performance of its application to decentralized CR networks. The presented DB method only controls the phase of the transmitted signal of each CR node in the CR network, and therefore, it is called phase-only DB (PODB) method. It can be implemented at each node independently with only prior knowledge of its own location, and directions of distant CR (DCR) users and LU. The average beam pattern and the average gains for an arbitrary number of CR nodes of PODB method are discussed, showing that CR nodes can constructively transmit signals to DCR users with less interferences to LU via employing the PODB method to form and direct main beams towards directions of DCR users while nulls towards directions of LU. PODB proves to be a green DB method by prolonging the lifetime of the CR network due to effective battery power consumptions at CR nodes. The cumulative distributed function of the beam pattern for a large number of CR nodes is derived and analysed to demonstrate that the PODB method increases the possibility that the transmitted power of the whole CR network at the directions of LU is lower than a certain threshold, which guarantees that CR network causes less disturbing effect to LU.Keywords: distributed beam forming, collaborative beam forming, cognitive radio networks, phase-only distributed beam forming, null-steering distributed beam forming, green cognitive radio networks

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Robust beamforming for interference rejection in mobile communications

Cited by 60 publications

References 5 publications

Uca-Nw Algorithm for Space-Time Antijamming

Uca-Nw Algorithm for Space-Time Antijamming

Adaptive Beamforming With Joint Robustness Against Mismatched Signal Steering Vector and Interference Nonstationarity

Distributed beam forming with phase-only control for green cognitive radio networks

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