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9th IEEE International Workshop on computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

作者： Allmann, Clemens Springer, Jannik Oispuu, Marc Koch, Wolfgang Fraunhofer Inst Commun Informat Proc & Ergon FKIE Dept Sensor Data & Informat Fus Wachtberg Germany

ISBN: (纸本)9798350344523

This paper addresses the problem of multi-source direction finding with a system that employs fewer receiver channels than antenna elements. To verify previous theoretical work [1], an experimental sensor system was built up and used for measurements in an anechoic chamber. The system consists of a specifically arranged (co-)array antenna divided into a 6-element uniform circular prototype array coupled through a switch to one receiver channel, and two directly connected reference antenna elements. Experimental results show that time-multiplexed (switched) direction of arrival estimation with number of sources equal to the number of receiver channels is feasible. Therefore, co-array techniques are utilized at each switch position and the received signal covariance matrix of the prototype array is reconstructed by means of spatial smoothing. The combined switched co-array approach is compared to the standard time-multiplex method in the sense of direction finding and source identification capability. Furthermore, direction finding results of a full 8-channel receiver system with the same array antenna used to span the co-array geometry are presented and discussed.

关键词： antenna array switched element time-varying array co-array more sensors than receivers Direction Finding DOA estimation AOA coherent sources real measurements.

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A co-array Approach to Multi-Source 2D-DOA Estimation with Time-Multiplexed array Elements 29

A Co-Array Approach to Multi-Source 2D-DOA Estimation with T...

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29th European Signal Processing conference (EUSIPco)

作者： Springer, Jannik Allmann, Clemens Oispuu, Marc Fraunhofer Inst Commun Informat Proc & Ergon FKIE Dept Sensor Data & Informat Fus Wachtberg Germany

ISBN: (纸本)9789082797060

This paper addresses the problem of multi-source direction finding with a system that employs fewer receivers than sensors. We propose a new system architecture, specifying a time-multiplex scheme together with a refined array geometry. The proposed array geometry consists of a centrosymmetric prototype array that is connected to the receiver through a switch and multiple reference elements that are directly connected to the receiver. Under the assumption of wide-sense stationary source signals, it is possible to reconstruct the array signals of the prototype array, as if it was sampled simultaneously. The resulting signals are amenable to conventional array processing techniques and direction of arrival (DOA) estimators such as the MUltiple SIgnal Classification (MUSIC) method. The processing steps exploit the geometry of co-arrays constructed at each switch position relating to the time-multiplex scheme. The problem of fully coherent equivalent source signals, inherent to the co-array approach, is mitigated by spatial smoothing. Finally, the proposed technique is verified using numerical experiments and compared to the Cramer-Rao lower bound (CRLB).

关键词： antenna array switched element time-varying array co-array more sensors than receivers Direction Finding DOA (estimation) AOA coherent sources

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UNIFIED ANALYSIS OF co-array INTERPOLATION FOR DIRECTION-OF-ARRIVAL ESTIMATION

UNIFIED ANALYSIS OF CO-ARRAY INTERPOLATION FOR DIRECTION-OF-...

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IEEE International conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Qiao, Heng Pal, Piya Univ Calif San Diego Dept Elect & Comp Engn San Diego CA 92103 USA

ISBN: (纸本)9781509041176

This paper considers the problem of co-array interpolation for direction-of-arrival (DOA) estimation with sparse non-uniform arrays. By utilizing the much longer difference coarray associated with these arrays, it is possible to perform DOA estimation of more sources than sensors. Since the coarray may contain holes (or missing lags), interpolation algorithms have been proposed to fully utilize the remaining elements of the co-array beyond that captured in the contiguous ULA segment. However, the quality and stability of interpolation performed by such algorithms (especially in presence of modeling errors) have not been analyzed. This paper provides a unified analysis of co-array interpolation algorithms to bound the interpolation error in terms of modeling errors. The results are universal in the sense that they can be applied to analyze any algorithm that utilizes the positive semidefinite (PSD) structure of the interpolated covariance matrix. The general framework is then applied to analyze specific algorithms and simulations are conducted to study their interpolation errors.(1)

关键词： co-array array interpolation Toeplitz completion nuclear norm minimization DOA estimation

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Experimental DoA Estimation Performance of the co-array concept 11

Experimental DoA Estimation Performance of the Co-array Conc...

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11th European conference on Antennas and Propagation (EUCAP)

作者： Wang, Jiachen Chulia Mena, Ruben Vandenbosch, Guy A. E. Katholieke Univ Leuven ESAT TELEMIC Kasteelpk Arenberg 10 B-3001 Leuven Belgium Univ Politecn Valencia Dept Comunicac ETSIT Valencia Spain

ISBN: (纸本)9788890701870

In previous studies, it has been proven that by applying the co-array concept, we can detect the Direction of Arrival (DoA) of more sources with less antenna elements. This paper investigates two parameters that have a crucial influence on the co-arrays' DoA estimation performance in practical tests: near field conditions and a multipath environment.

关键词： co-array MUSIC DoA Estimation Near Field Multipath

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Performance Analysis of ESPRIT-Type Algorithms for co-array Structures 7

Performance Analysis of ESPRIT-Type Algorithms for Co-Array ...

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7th IEEE International Workshop on computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

作者： Steinwandt, Jens Roemer, Florian Haardt, Martin Ilmenau Univ Technol Commun Res Lab POB 100565 D-98684 Ilmenau Germany Ilmenau Univ Technol Digital Broadcasting Lab POB 100565 D-98684 Ilmenau Germany

ISBN: (纸本)9781538612514

In the recent field of co-array signal processing, sparse linear arrays are processed to form a virtual uniform linear array (ULA), termed co-array, that allows to resolve more sources than physical sensors. The extra degrees of freedom (DOFs) are leveraged by the assumption that the signals are uncorrelated, which requires a large sample size. In this paper, we first review the Standard ESPRIT and Unitary ESPRIT algorithms for co-array processing. Secondly, we propose a performance analysis for both methods, which is asymptotic in the effective signal-to-noise ratio (SNR), i.e., the results become exact for either high SNRs or a large sample size. Based on the derived analytical expressions, we study the effects of a small sample size such as the residual sample signal correlation and the sample noise contribution on the estimation accuracy of the proposed algorithms. Simulation results verify the derived analytical expressions.

关键词： Performance analysis ESPRIT co-array parameter estimation

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Unified analysis of co-array interpolation for direction-of-arrival estimation

Unified analysis of co-array interpolation for direction-of-...

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IEEE International conference on Acoustics, Speech and Signal Processing

作者： Heng Qiao Piya Pal Dept. of Electrical and Computer Engineering University of California San Diego USA

ISBN: (纸本)9781509041183

This paper considers the problem of co-array interpolation for direction-of-arrival (DOA) estimation with sparse nonuniform arrays. By utilizing the much longer difference co-array associated with these arrays, it is possible to perform DOA estimation of more sources than sensors. Since the co-array may contain holes (or missing lags), interpolation algorithms have been proposed to fully utilize the remaining elements of the co-array beyond that captured in the contiguous ULA segment. However, the quality and stability of interpolation performed by such algorithms (especially in presence of modeling errors) have not been analyzed. This paper provides a unified analysis of co-array interpolation algorithms to bound the interpolation error in terms of modeling errors. The results are universal in the sense that they can be applied to analyze any algorithm that utilizes the positive semidefinite (PSD) structure of the interpolated covariance matrix. The general framework is then applied to analyze specific algorithms and simulations are conducted to study their interpolation errors.

关键词： co-array array interpolation Toeplitz completion nuclear norm minimization DOA estimation

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Experimental DoA Estimation Performance of the co-array concept

Experimental DoA Estimation Performance of the Co-array Conc...

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European conference on Antennas and Propagation

作者： Jiachen Wang Ruben Chulia Mena Guy A. E. Vandenbosch ESAT-TELEMIC KU Leuven ETSIT Departamento de Comunicaciones Universidad Politecnica de Valencia

ISBN: (纸本)9781509037421

关键词： co-array MUSIC DoA Estimation Near Field Multipath Multiple signal classification Direction of arrival estimation near-field PRACTICAL TEST antenna element two parameter field conditions Angle of arrival

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Generalising the co-array, for SAR and MIMO Radar

Generalising the Co-Array, for SAR and MIMO Radar

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IEEE International Radar conference (Radarcon)

作者： Kilpatrick, Troy Longstaff, I. Dennis Teledyne Def Australia Brisbane Qld Australia Univ Queensland Sch Informat Tech & Elect Engn Brisbane Qld 4072 Australia

ISBN: (纸本)9781479982325

We describe the relationship between far field pattern synthesis for the co-array and the SAR array;showing the application of these to MIMO radar pattern synthesis. Whereas the original co-array concept was developed for planar arrays, the understanding as described in this paper shows its generalisation to arbitrary three dimensional arrays. These ideas are then used to show some useful MIMO radar array configurations. Whilst the analysis applies to the far field we show this also gives a good approximation to the near-field pattern of a focused array, but only in the focal plane.

关键词： MIMO Radar co-array Synthesized array SAR

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Sparse convolutional array for DOA estimation

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EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING 2022年第1期2022卷 1-15页

作者： Wang, Zikai Liu, Yun Song, Ruiliang Liu, Ning Liang, Qilian China Elect Technol Grp Corp Res Inst 54 Shijiazhuang Hebei Peoples R China Univ Texas Arlington Elect Engn Dept Arlington TX 76019 USA

array signal processing plays an important role in many areas. Besides the Uniform Linear array, there are many sparse array that have been proposed, for example, Minimum-redundancy array, co-prime array, nested array, etc. However, most of the array structures have certain disadvantages. A new type of nonlinear sparse sensor array called sparse convolutional array is illustrated which can reduce the number of physical sensors while remain a decent performance in DOA estimation. The sparse convolutional array contains three groups of physical sensors and is able to form a hole-free difference co-array. By adding sensors on two sides instead of the center, the proposed array shows improved performance compared to some other approaches while reminds few physical sensors. The array geometrical structure is illustrated, and the numerical result is provided. We also extended this array structure to two-dimensional case, and the performance is illustrated.

关键词： array signal processing Sparse arrays co-array DOA estimation

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Multiple Angles of Arrival Estimation Using Broadband Signals and a Nonuniform Planar array

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IEEE TRANSACTIONS ON coMMUNICATIONS 2022年第6期70卷 4093-4106页

作者： Liu, Chao Yang, Bensheng Zhang, Peize Wang, Haiming Wang, Cheng-Xiang You, Xiaohu Purple Mt Labs Pervas Commun Res Ctr Nanjing 211111 Peoples R China Southeast Univ State Key Lab Millimeter Waves Nanjing 210096 Peoples R China Huawei Software Technol Co Ltd Nanjing 210012 Peoples R China Southeast Univ Natl Mobile Commun Res Lab Nanjing 210096 Peoples R China

As the requirements related to resolution or the data rate increase, most angle-of-arrival (AoA) estimation problems can be assumed to be under a broadband signal model. In this paper, AoA estimation using a nonuniform planar array (NUPA), which aims to resolve more signals and reduce mutual coupling, is considered under a broadband signal model. The analysis is conducted in both the space and frequency domains, and a broadband co-array is proposed to improve the performance of the AoA estimation. The broadband co-array is generated as follows: First, the received broadband signal is decomposed into several narrowband signals, and the samples from different frequency bins are transformed to space-domain samples to generate a virtual array. Then, the second-order statistics of the virtual array are used to generate the broadband co-array. The virtual array can decrease the number of element pairs with small interelement spacing to reduce mutual coupling in AoA estimations. With the help of the virtual array, the following broadband co-array can greatly increase the degrees of freedom, resulting in more resolvable signals and lower Cramer-Rao bounds of AoA estimation. An optimization method based on sparse recovery is proposed to locate the array. The simulation results confirm the AoA estimation performance achieved by the designed NUPA.

关键词： Estimation Broadband communication OFDM Signal resolution Mutual coupling Transmission line matrix methods Planar arrays Nonuniform planar array (NUPA) broadband signals visualization optimization of array pattern co-array AoA estimation

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