Optimum phase-only adaptive nulling

Smith, Steven T.

doi:10.1109/78.771033

Cited by 120 publications

(98 citation statements)

References 15 publications

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“…equal gain combining). Most literature considers a single weight vector (with variable phases only) that should be designed to match certain performance criteria, e.g., [6], [15], and [16]. The paper [10] considers an APN with multiple outputs, and it is shown that any desired weight vector can always be obtained by linearly combining two phase-only beamformers, thus is sufficient.…”

Section: A Connectionsmentioning

confidence: 99%

Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation

Venkateswaran

Veen

2010

IEEE Trans. Signal Process.

369

272

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Abstract-In multiple-input multiple-output (MIMO) systems, the use of many radio frequency (RF) and analog-to-digital converter (ADC) chains at the receiver is costly. Analog beamformers operating in the RF domain can reduce the number of antenna signals to a feasible number of baseband channels. Subsequently, digital beamforming is used to capture the desired user signal. In this paper, we consider the design of the analog and digital beamforming coefficients, for the case of narrowband signals. We aim to cancel interfering signals in the analog domain, thus minimizing the required ADC resolution. For a given resolution, we will propose the optimal analog beamformer to minimize the mean squared error between the desired user and its receiver estimate. Practical analog beamformers employ only a quantized number of phase shifts. For this case, we propose a design technique to successively approximate the desired overall beamformer by a linear combination of implementable analog beamformers. Finally, an online channel estimation technique is introduced to estimate the required statistics of the wireless channel on which the optimal beamformers are based.Index Terms-ADC power consumption, analog beamforming, matching pursuit, passive RF phase shifters.

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Section: A Connectionsmentioning

confidence: 99%

Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation

Venkateswaran

Veen

2010

IEEE Trans. Signal Process.

369

272

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“…In this paper, we employ Particle Swarm Optimization (PSO) algorithm as the optimization engine to obtain an optimal solution to this problem. The waveforms designed by this paper are phase-controlled with constant modulus [18]. Several design examples show the performance of the proposed method along with discussions on the properties of designed waveforms.…”

Section: Introductionmentioning

confidence: 99%

Sparse Frequency Waveform Design for Mimo Radar

2010

PIER B

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Abstract-Multiple-input multiple-output (MIMO) radar has superior performance to conventional one. It has been introduced to almost every application field of conventional radar in recent years. In practical application, MIMO radar also faces the problem of congested spectrum assignment, which makes it not possible to have a continuous clear band with large bandwidth. Sparse frequency waveform that contains several individual clear bands is a desirable solution to this problem. In this paper, we propose a method to design sparse frequency waveform set with low sidelobes in autocorrelations and crosscorrelations by optimizing an objective function constructed based on Power Spectrum Density requirement and sidelobe performances of waveform set. Thus, besides the property of approximate orthogonality, the designed waveforms obtain the ability of avoiding spectrum interference to/from other users. The waveform is phase-coded and thereby has constant modulus. The effectiveness of the proposed method is illustrated by numerical studies. Practical implementation issues such as quantization effect and Doppler effect are also discussed.

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“…For this reason, the null steering time has become an emerging consideration in mobile CRPA systems. However, only a few studies have reported on reducing the null steering time by developing a fast adaptive algorithm from a signal processing perspective [1][2][3][4][5][6].…”

Section: Introductionmentioning

confidence: 99%

Optimum Array Configuration to Improve Null Steering Time for Mobile CRPA Systems

Byun¹,

Hyun²,

Seo³

et al. 2016

Journal of electromagnetic engineering and science

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This paper proposes an optimum array configuration to improve null steering time for mobile controlled reception pattern antenna (CRPA) systems. The proposed array consists of a single reference element at the center and nine auxiliary elements arranged in a circular array. The array radius and the vertical positions of the center element are optimized using a genetic algorithm in conjunction with a constrained least-mean-square algorithm. The results demonstrate that the proposed array is suitable for mobile CRPA systems without significant side nulls in satellite directions. This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/ by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. ⓒ

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Optimum phase-only adaptive nulling

Cited by 120 publications

References 15 publications

Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation

Analog Beamforming in MIMO Communications With Phase Shift Networks and Online Channel Estimation

Sparse Frequency Waveform Design for Mimo Radar

Optimum Array Configuration to Improve Null Steering Time for Mobile CRPA Systems

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