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The LOCATA Challenge Data Corpus for Acoustic Source Localization and Tracking 10

The LOCATA Challenge Data Corpus for Acoustic Source Localiz...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Loellmann, Heinrich W. Evers, Christine Schmidt, Alexander Mellmann, Heinrich Barfuss, Hendrik Naylor, Patrick A. Kellermann, Walter Friedrich Alexander Univ Erlangen Nurnberg Erlangen Germany Imperial Coll London London England Humboldt Univ Berlin Germany

ISBN: (纸本)9781538647523

Algorithms for acoustic source localization and tracking are essential for a wide range of applications such as personal assistants, smart homes, tele-conferencing systems, hearing aids, or autonomous systems. Numerous algorithms have been proposed for this purpose which, however, are not evaluated and compared against each other by using a common database so far. The ieee-AASP Challenge on sound source localization and tracking (LOCATA) provides a novel, comprehensive data corpus for the objective benchmarking of state-of-the-art algorithms on sound source localization and tracking. The data corpus comprises six tasks ranging from the localization of a single static sound source with a static microphone array to the tracking of multiple moving speakers with a moving microphone array. It contains real-world multichannel audio recordings, obtained by hearing aids, microphones integrated in a robot head, a planar and a spherical microphone array in an enclosed acoustic environment, as well as positional information about the involved arrays and sound sources represented by moving human talkers or static loudspeakers.

关键词： arrays Microphone arrays Task analysis array signal processing Acoustics Databases"

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array configuration design for space-time adaptive processing systems

Array configuration design for space-time adaptive processin...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Yang, KH Zhang, YM Ohira, T ATR Adapt Commun Res Labs Kyoto 6190288 Japan

ISBN: (纸本)0780375513

It is known that the design of antenna array configuration is an important issue to the antenna array applications. In this paper, we present a method to design antenna array configurations for space-time adaptive processing (STAP) applied to mobile communication systems. We first derive an upper bound of the residual error power of STAP systems under the minimum mean square error (MMSE) criterion. Then, the relationship between the bound and the space-time channel auto- and cross-correlation functions is established. According to this relationship, an objective function under perfect Monte Carlo sampling is proposed, based on which the array configuration that optimizes the performance is thus obtained. Numerical simulation results under a given statistical signa environment show the effectiveness of the proposed design method.

关键词： Monte Carlo methods

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SPARSE array AND PRECODING DESIGN FOR INTEGRATED SENSING AND COMMUNICATION SYSTEMS 13

SPARSE ARRAY AND PRECODING DESIGN FOR INTEGRATED SENSING AND...

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

作者： Sankar, R. S. Prasobh Chepuri, Sundeep Prabhakar Indian Inst Sci Bengaluru Karnataka India

ISBN: (纸本)9798350344820;9798350344813

In this paper, we perform joint antenna selection and transmit pre-coder design for integrated sensing and communication (ISAC) systems to meet signal-to-interference-plus-noise-ratio (SINR) requirements at the users while being capable of identifying, i.e., estimating the direction of arrivals (DoAs), of certain number of sources. We first present a sufficient condition to ensure certain identifiability. Next, through a series of relaxations, we obtain a convex approximation to the combinatorial antenna selection and precoding problem, which we solve using off-the-shelf solvers. The proposed method offers comparable performance to ISAC systems with optimal antenna selection obtained through exhaustive search while significantly out-performing ISAC systems with arbitrarily selected active antennas.

关键词： Antenna selection beamforming integrated sensing and communication MIMO systems sparse arrays

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Non-parametric detection of unknown correlated multichannel transients with sequential and block hypothesis testing in multiresolution spaces

Non-parametric detection of unknown correlated multichannel ...

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2nd ieee sensor array and multichannel signal processing workshop

作者： Oweiss, KG Univ Michigan Dept Elect Engn & Comp Sci Ann Arbor MI 48109 USA

ISBN: (纸本)0780375513

The problem of detecting transient multichannel signals of unknown waveform shape has been widely studied in recent years due to the numerous applications associated with it. Nevertheless, the particular case of unknown source waveforms impinging on an array of closely spaced sensors and buried in strong spatially and temporally correlated noise process has received little attention due to its inherent complexity, but yet arises in many array signal processing applications. In this work, we extend our recently developed Multiresolution Generalized Likelihood Ratio Test detector (MRGLRT) [1] to the problem of determining the number of observations needed to make a decision in the statistical hypothesis-testing problem. We reformulate the MRGLRT detector and compare two strategies for the hypothesis testing, namely, sequential and block tests. We show that, on the average, a smaller number of observations are needed to make a decision in either case. The strength of the proposed detector lies in the fact that it is derived under no assumptions about the signal and/or the noise process. We illustrate through simulated and experimental data the superiority of the new detector over the traditional time domain detector in many aspects.

关键词： array processing

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Interferometric array Design Under Regularized Antenna Placements for Interference Suppression 10

Interferometric Array Design Under Regularized Antenna Place...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Wang, Xiangrong Amin, Moeness Aboutanios, Elias Beihang Univ Sch Elect & Informat Engn Beijing Peoples R China Villanova Univ Ctr Adv Commun Villanova PA 19085 USA Univ New South Wales Sch Elect Engn Sydney NSW Australia

ISBN: (纸本)9781538647523

Interference suppression is an important task in extensive sensor array applications, including large interferometric arrays in radio astronomy. The interferometric array design in terms of maximizing output signal-to-interference-plus-noise ratio (MaxSINR) calls for freely placing antennas on grid points without imposing any regularity conditions on the array structure. The configured sparse array exhibits multiple drawbacks, most notably, uncontrollable beampatterns with high sidelobes. To overcome these shortcomings, we add conventional beampattern sidelobe constraints in the design formulation. The resulting array is referred to as restricted beampattern array configuration (RBAC). Alternatively, we consider a new regularized placement array configuration (RPAC) strategy, where antenna position constraints are imposed as means for sidelobe control. In this case, the antenna selection is performed such that each segment of grid points must include one antenna, preventing very large inter-element spacing. We formulate the new RPAC problem and compare its solution to that of the RBAC.

关键词： Interferometric array Regularized sensor Placement Sidelobe Suppression Beampattern

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Short Data Record Filtering for Adaptive Underwater Acoustic Communications 10

Short Data Record Filtering for Adaptive Underwater Acoustic...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Gannon, Adam Balakrishnan, Sarankumar Sklivanitis, George Pados, Dimitris A. Batalama, Stella N. SUNY Buffalo Dept Elect Engn Buffalo NY 14260 USA Florida Atlantic Univ I SENSE Boca Raton FL 33431 USA Florida Atlantic Univ Dept Comp & Elect Engn & Comp Sci Boca Raton FL 33431 USA Florida Atlantic Univ Coll Engn & Comp Sci Boca Raton FL 33431 USA

ISBN: (纸本)9781538647523

Spread-spectrum signaling offers robust communication over the multipath underwater acoustic channel, while at the same time allows multiple users to simultaneously occupy the entire continuum of the device-accessible bandwidth. However, limitations in temporal and spatial coherence of the underwater acoustic channel affect the maximum spreading code length and therefore the effective link data rate. In this work, we propose adaptive code length optimization toward high-rate spread-spectrum underwater acoustic communications. We first evaluate the bit error rate (BER) performance of the estimated minimum variance distortionless response (MVDR) and auxiliary-vector (AV) linear filter receivers. We observe that the AV-filter based receiver significantly outperforms the estimated MVDR solution under limited data-record availability. We then investigate data rate trade-offs for optimized code lengths under pre-defined BER constraints in time-varying underwater acoustic channels. Simulation results verify that the proposed adaptive packetization scheme offers superior data rate performance under short data-record constraints imposed by the non-stationary nature of the underwater environment.

关键词： Receivers Underwater acoustics Interference signal to noise ratio Coherence Bit error rate array signal processing"

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End-to-end Modelling of the Imaging Pipeline in Radio Astronomy 10

End-to-end Modelling of the Imaging Pipeline in Radio Astron...

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10th ieee sensor array and multichannel signal processing workshop (SAM)

作者： Griffin, Anthony Ensor, Andrew Auckland Univ Technol Sch Engn Comp & Math Sci High Performance Comp Res Lab Auckland New Zealand Auckland Univ Technol Sch Engn Comp & Math Sci Elect & Elect Engn Dept Auckland New Zealand Auckland Univ Technol Sch Engn Comp & Math Sci Comp Sci Dept Auckland New Zealand

ISBN: (纸本)9781538647523

The Square Kilometre array (SKA) will push the boundaries of radio astronomy. As such, it will need enormous computing power to process the tremendous amount of data it will produce. Significant savings in computing could be made if some of this processing was done in single-precision. This paper presents our end-to-end modelling of the SKA Imaging Pipeline. We model the signals received by the Central signal Processor (CSP) using our Sky Generator Model. We then process the sky signals with our CSP Correlator Model to generate the visibilities that are passed to the Science Data Processor (SDP). These visibilities are gridded Fourier transformed by our SDP Imaging Model to produce a dirty image. This dirty image is then deconvolved to produce an image of the sky. Through our models we investigate the error introduced with reduced numerical precision, and we perform various tests to explore the limits of single-precision processing.

关键词： Modelling radio astronomy Square Kilometre array signal processing numerical precision

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Direction of Arrival Estimation of Non-circular signals using Modified Nested array 11

Direction of Arrival Estimation of Non-circular Signals usin...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Zhang, Xiaofei Wang, Yunfei Zheng, Wang Nanjing Univ Aeronaut & Astronaut Coll Elect & Informat Engn Nanjing Peoples R China Nanjing Univ Aeronaut & Astronaut Key Lab Dynam Cognit Syst Electromagnet Spectrum Minist Ind & Informat Technol Nanjing 211106 Peoples R China

ISBN: (纸本)9781728119465

In this paper, we investigate the issue of direction of arrival (DOA) estimation of non-circular (NC) signals, and propose a modified nested array with enhanced degrees of freedom (DOFs) and a vectorized NC propagator method (VNC-PM) algorithm which can utilize the difference-sum co-array to perform DOA estimation. Specifically, we modify the conventional nested array by switching the positions of the two subarrays aiming to obtain a difference-sum co-array with higher DOFs. In order to fully exploit the provided DOFs and obtain higher estimation accuracy, we utilize the NC characteristic to generate the equivalent received signal of the difference-sum co-array and exploit the quasi-stationary property of the signal to avoid the spatial smoothing technique which leads to the DOF degradation. The modified PM based on the rotational invariance is then employed to obtain DOA estimates, where NC phases can be eliminated. Simulations are provided to evaluate the superiority of the proposed configuration and DOA estimation algorithm.

关键词： DOA estimation non-circular signals nested array difference-sum co-array

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Performance Evaluation of Bluetooth in a Wireless Body Area Network for Practical Applications 11

Performance Evaluation of Bluetooth in a Wireless Body Area ...

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ieee 11th sensor array and multichannel signal processing workshop (SAM)

作者： Reich, Olaf Hubner, Erik Ghita, Bogdan Wagner, Matthias Schafer, Jorg Frankfurt Univ Appl Sci Dept Comp & Engn Sci Frankfurt Germany Univ Plymouth Plymouth Devon England

ISBN: (纸本)9781728119465

This work focuses on practical research in the field of Bluetooth 5.0 and the maximum number of Bluetooth sensors nodes in a wireless body area network (WBAN) for human activity recognition (HAR). As network topology M:1 multi-pairing is used. For the best of our knowledge no direct related work in this field can be found. We investigated how many Bluetooth connections can be simultaneously connected with different smartphones (iOS) with real sensor data and in which time intervals the data can still be processed and stored. Our results show that a maximum of 14 Bluetooth devices can be connected under practical conditions. A stable transmission with 48 bytes per package are found with most reliability in an minimal interval of 40 ms per node.

关键词： Bluetooth Internet of Things (IoT) performance-evaluation wireless body area network (WBAN) Special Interest Group (SIG) NINA sensor networks

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Optimal adaptive array and angle tracking of multiple targets - A re-examination of optimal array processing

Optimal adaptive array and angle tracking of multiple target...

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4th ieee sensor array and multichannel signal processing workshop

作者： Gu, Huaijin Louisiana Tech Univ Ruston LA USA

ISBN: (纸本)1424403081

The optimal array for detecting the signal from a desired direction but contaminated by receiver noise and strong interference from different sources with unknown arriving-angles is re-examined. The well-known optimal array is obtained by inverting the covariance matrix of interference and noise to maximize the signal to interference and noise ratio (SINR). In practice, the covariance matrix is unknown and has to be estimated by a sample covariance matrix. The optimal array is thus estimated by inverting the sample covariance matrix. This procedure has been employed in optimal array research without challenge. However, it is shown in this paper that the estimated optimal array fails to yield the highest SINR in the case of unknown arriving-angles. Instead the highest SINR can be achieved by optimally estimating the arriving-angles of interference followed by a constrained matched filter, which maximizes the signal to noise ratio subject to canceling the interference from the estimated arriving-angles. In order to reduce the computational burden, an angle-tracking system for multiple targets is adopted to achieve the optimal estimation of arriving-angles. The resulting system of angle-tracking adaptive array offers the highest SINR at a computational burden only on the order of N . M-2 multiplications within a radar range-cell Delta tau, rather than N-3 multiplications in the well-known but questionable estimated optimal array. Here N is the number of sensors in the array and M the number of interference sources. Typically, N = 1,000 in a planar radar array, M = 2 similar to 10 and Delta tau = 1 mu S. Numerical simulations confirm the theoretical results.

关键词： array processing

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