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Deterministic Blind Identification in Antenna array processing

Deterministic Blind Identification in Antenna Array Processi...

引用

8th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Sahnoun, Souleymen Comon, Pierre CNRS UMR5216 GIPSA Lab F-38402 St Martin Dheres France

ISBN: (纸本)9781479914814

The estimation of directions of arrival is formulated as the decomposition of a 3-way array into a sum of rank-one terms. However, a low-rank tensor approximation does not always exist. We propose an optimization technique based on differentiable angular constraints on the factors, ensuring the existence of the low-rank tensor decomposition. The efficiency of the proposed algorithm is demonstrated via numerical simulations, and compared to Cramer-Rao bounds.

关键词： array processing Antenna arrays decomposition Blind Tensor deterministic Differentiable

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Receiver Antenna Allocation for Joint Sensing and Communications 13

Receiver Antenna Allocation for Joint Sensing and Communicat...

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： van der Werf, Ids Leus, Geert Chepuri, Sundeep Prabhakar Delft Univ Technol Delft Netherlands Indian Inst Sci Bengaluru India

ISBN: (纸本)9798350344820;9798350344813

We describe the problem of joint sensing and communications (JSAC) using an antenna array where some antennas are used for sensing and some others for communications. The problem is to jointly optimize the sensing and communications performance at the receive side through respectively the CramerRao bound (CRB) on the source angles and the variance of the sources after applying a minimum variance distortionless response (MVDR) beamformer. Both criteria are derived under a two-source scenario and optimized for any position of the two sources. Here one of the sources is considered the source of interest, while the other one models the interference. The performance criteria for sensing and communications are mathematically similar and depend only on the angular difference between the two sources. As a result, they can be elegantly combined and jointly optimized. Our findings are corroborated by simulations under different parameter settings.

关键词： Convex optimization Cramer-Rao bound sensor selection joint sensing and communication multi-target estimation

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Experimental Evaluation of a Null-Steered Performance Weighted Blended Beamformer 13

Experimental Evaluation of a Null-Steered Performance Weight...

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Tucker, Jeff Wage, Kathleen E. George Mason Univ ECE Dept Fairfax VA 22030 USA

ISBN: (纸本)9798350344820;9798350344813

In array signal processing beamformers are used to improve the signal to interference and noise ratio (SINR). Dominant mode rejection (DMR) is a common adaptive beamforming algorithm designed to detect quiet sources in the presence of a few loud interferers. Buck and Singer proposed the Universal DMR (UDMR) beamformer that automates the selection of the subspace rank by blending fixed-rank DMR beamformers based on their performance. While UDMR requires only slightly more computation than a single fixed-rank DMR, it still requires a computationally expensive eigendecomposition. This paper proposes to reduce the computational complexity of the UDMR by replacing the DMR beamformers with a set of conventional beamformers. The null-steered performance weighted blended (NS-PWB) beamformer combines beamformers with nulls steered to interlocking locations so that if a planewave interferer is present at least one beamformer in the set will have a null nearby. Additionally, when there are persistent sources of non-plane-wave interference then beamformers can be designed and included in the beamformer set to reject those interferers when they are present. This paper applies the NS-PWB beamformer to data from a vertical line array in the Philippine Sea. The results show that the NS-PWB approximates the SINR performance of DMR beamformers with significant computational savings.

关键词： signal processing sensor arrays passive sonar universal beamforming beamforming

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Blind timing synchronization for OFDM systems via adaptive beamforminga

Blind timing synchronization for OFDM systems via adaptive b...

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4th ieee sensor array and multichannel signal processing workshop

作者： Yang, Kehu He, Xueyao Xidian Univ EE Res Inst S Taibai Rd 2 Xian 710071 Peoples R China

ISBN: (纸本)1424403081

It is known that blind timing synchronization of OFDM systems can be realized for AWGN channels using the redundant information of cyclic prefix. In this paper, we extend the blind method to the case of array receivers via adaptive beamforming, and a new approach is proposed to improve the synchronization accuracy for high data rate OFDM systems, where rich multipath rays are present. The extended method is to coherently combine the desired signals of array receivers and suppress the undesired signals using adaptive beamforming. And the approach is to reduce the effect of multipath rays on synchronization. Simulation results show that in rich multipath scenarios the approach works effectively both in the absence and the presence of carrier frequency offset.

关键词： Blind source separation

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Low Complexity Beam Domain processing for Autoencoder Based CSI Compression 13

Low Complexity Beam Domain Processing for Autoencoder Based ...

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13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Ibrahim, Mohamed Salah Malhotra, Akshay InterDigital Commun Wilmington DE 19809 USA

ISBN: (纸本)9798350344820;9798350344813

In frequency division duplex (FDD) massive MIMO systems, each user equipment (UE) device typically feeds back downlink channel state information (CSI) to its serving base station (BS), which may then be utilized for beamforming and scheduling purposes. However, the large number of antennas increases the CSI signaling overhead in the uplink, thereby impacting the system's spectral efficiency. To address the feedback overhead problem, this paper proposes a low-complexity beam domain autoencoder that operates on low-dimensional beam domain channel samples. The key idea is to efficiently transform the channel from the antenna-domain to the beam-domain by selecting a small number of beams that preserve most of the channel information. To leverage the beam domain processor, we propose a beam selection method that enables high reconstruction quality with a small number of selected beams. The proposed framework offers a favorable balance between complexity, performance, and memory requirements. Simulations demonstrate the efficacy of the proposed approach in recovering the compressed channel at reduced overhead and complexity, relative to the state-of-the-art methods.

关键词： Frequency division multiplexing

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Near or far: On determining the appropriate channel estimation strategy in cross-field communication 13

Near or far: On determining the appropriate channel estimati...

引用

13rd ieee sensor array and multichannel signal processing workshop (SAM)

作者： Tarboush, Simon Ali, Anum Al-Naffouri, Tareq Y. Samsung Res Amer Stand & Mobil Innovat Lab Plano TX USA King Abdullah Univ Sci & Technol Dept CEMSE Informat Sci Lab Thuwal Saudi Arabia

ISBN: (纸本)9798350344820;9798350344813

The use of ultra-massive multiple-input multiple-output and high-frequency large bandwidth systems is likely in the next-generation wireless communication systems. In such systems, the user moves between near- and far-field regions, and consequently, the channel estimation will need to be carried out in the cross-field scenario. Channel estimation strategies have been proposed for both near- and far-fields, but in the cross-field problem, the first step is to determine whether the near- or far-field is applicable so that an appropriate channel estimation strategy can be employed. In this work, we propose using a hidden Markov model over an ensemble of region estimates to enhance the accuracy of selecting the actual region. The region indicators are calculated using the pair-wise power differences between received signals across the subarrays within an array-of-subarrays architecture. Numerical results show that the proposed method achieves a high success rate in determining the appropriate channel estimation strategy.

关键词： array-of-subarrays spherical wave model hybrid spherical-planar wave model planar wave model

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MAP-PF 3D POSITION TRACKING USING MULTIPLE sensor arrayS

MAP-PF 3D POSITION TRACKING USING MULTIPLE SENSOR ARRAYS

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ieee sensor array and multichannel signal processing workshop

作者： Bell, Kristine L. Pitre, Richard George Mason Univ Dept Stat Fairfax VA 22030 USA LLC RobTre Res Clarksville TN 21029 USA

ISBN: (纸本)9781424422401

The maximum a posteriori penalty function (MAP-PF) approach is applied to three-dimensional (3D) target position tracking of multiple wideband sources using multiple distributed sensor arrays. The track estimation problem is formulated directly from the array data using the maximum a posteriori (MAP) estimation criterion. The penalty function (PF) method of nonlinear programming is used to obtain a tractable solution. A sequential update procedure is developed in which penalized maximum likelihood estimates of target directions-of-arrival (DOAs) and spectra are computed at each array and then used as synthetic measurements in a set of extended Kalman filters. The two steps are coupled via the penalty function. The current target states are used to guide the DOA/spectrum estimation, and the estimated signal spectra control the influence of the DOA estimates from each array on the final track estimates. The algorithm can be implemented in a decentralized manner where DOA/spectrum estimation is performed at the arrays, and track estimation is performed at a central processing site.

关键词： Direction of arrival

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OPTIMIZING THE PERFORMANCE OF THE PARTIAL ADAPTIVE CONCENTRIC RING array IN THE PRESENCE OF PRIOR KNOWLEDGE

OPTIMIZING THE PERFORMANCE OF THE PARTIAL ADAPTIVE CONCENTRI...

引用

ieee sensor array and multichannel signal processing workshop

作者： Vicente, L. M. Ho, K. C. Univ Missouri Dept Elect & Comp Engn Columbia MO 65211 USA

ISBN: (纸本)9781424422401

The partial adaptive concentric ring array (CRA) has been successfully applied to 3-D beamforming because of its flexibility, faster tracking ability and reduced computation with respect to the fully adaptive CRA. In some cases, prior knowledge regarding some interferences is available so that better beamformers can be designed. The previous method that exploits prior knowledge by using a fixed penalty factor could not guarantee in maintaining a low residual interference and noise level. We propose in this paper an adaptive beamformer that automatically seeks out the optimum penalty factor to achieve the best performance. The proposed beamformer outperforms the previous design in maintaining a higher output signal to interference and noise ratio, even after the characteristics of the interferences have changed. The performance of the proposed beamformer is evaluated through simulations.

关键词： Beamforming

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POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY array CONFIGURATIONS

POLYNOMIAL ROOTING-BASED DIRECTION FINDING FOR ARBITRARY ARR...

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ieee sensor array and multichannel signal processing workshop

作者： Costa, Mario Richter, Andreas Belloni, Fabio Koivunen, Visa Helsinki Univ Technol Dept Signal Proc & Acoust SMARAD CoE FIN-02015 Helsinki Finland

ISBN: (纸本)9781424422401

In this paper, we propose angle of arrival estimation algorithms for arbitrary array geometries. The proposed methods extend the root-WSF [1] and Modified Variable Projection (MVP) [2] algorithms to arbitrary array configurations. This is accomplished by employing the recently introduced Manifold Separation Technique (MST) [3], which stems from wavefield modelling [4]. The algorithms process the data in the element-space domain, i.e. no mapping of the data that introduces errors is required. Moreover, coherent sources can be handled. The proposed MST-based MVP algorithm shows a statistical performance close to the Cramer-Rao Lower Bound (CRLB) [5, 6]. The performance is illustrated using calibration data from two real-world arrays.

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An extended ambiguity criterion for array design

An extended ambiguity criterion for array design

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2nd ieee sensor array and multichannel signal processing workshop

作者： Dowlut, N Motorola Canada Toronto Design Ctr Markham ON L6G 1B3 Canada

ISBN: (纸本)0780375513

The ambiguity problem in direction-of-arrival (DOA) estimation using a sensor array, manifests itself as spurious peaks in the DOA spectrum, making the true targets indistinguishable from the false alarms. A criterion that determines the presence of certain ambiguities inherent to a symmetric linear array was proposed in the literature. The criterion is a useful tool to design reliable sensor arrays. In this paper, a generalization of this ambiguity criterion is presented. The new ambiguity criterion encompasses more ambiguous DOAs and therefore gives a more accurate measurement of the reliability of an array design.

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