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A linear filtering solution for color filter array interpolation

A linear filtering solution for color filter array interpola...

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ieee Digital signal processing workshop

作者： J.W. Glotzbach R.W. Schafer Atlanta GA USA

Digital cameras measure a color image by using color filters to interleave red, green, and blue samples across the charge coupled device (CCD) sensor. These samples must be interpolated to the resolution of the sensor to produce a full-color image. Adams and Hamilton proposed an interpolation method for the green image where for each missing sample, an estimate was computed by interpolating along a vertical or horizontal direction. In this method, red, green, and blue samples were used to estimate the green value. This paper provides an analysis of this method and simplifies the algorithm by removing the directional processing. The new method uses one interpolation filter for the green pixels and one interpolation filter for the red and blue pixels. Because the proposed method is a linear system, it runs efficiently on a DSP system. The quality of the output images from the proposed method is equivalent to the quality of the images from the Adams and Hamilton method.

关键词： Maximum likelihood detection Nonlinear filters Interpolation Charge-coupled image sensors Digital cameras Current measurement Charge measurement Color Digital filters Charge coupled devices

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On the capacity of the reachback channel in wireless sensor networks

On the capacity of the reachback channel in wireless sensor ...

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ieee workshop on Multimedia signal processing

作者： J. Barros S.D. Servetto Institute for Communications Engineering (LNT) Munich University of Technology Germany School of Electrical and Computer Engineering Comell University Medical College USA

We consider the problem of reachback communication in wireless sensor networks: multiple sensors are deployed on a field, and they collect local measurements of some random process which then need to be encoded and reproduced at a remote location. In this paper we present a number of information theoretic bounds on the performance of a distributed transmission array that is formed by a large number of cheap, unreliable sensors. We formulate this problem in terms of classical network information theory concepts, formulation which leads us to consider two important cases: transmission of correlated sources over multiple independent channels, and rate/distortion with separate encoders.

关键词： Intelligent networks Wireless sensor networks Spaceborne radar Throughput Large-scale systems Radar imaging Uniform resource locators Synthetic aperture radar Computer networks Context

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Auto-focusing and tracking techniques for enhancement of coherent signal-subspace methods

Auto-focusing and tracking techniques for enhancement of coh...

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ieee workshop on Statistical signal and array processing

作者： Churng-Jou Tsai Jar-Ferr Yang Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)0780305086

The authors formulate the wideband minimum variance distortionless response (MVDR) as the auto-focusing criterion. By emulation results of single-group and multi-group sources, they show that the optimal focusing angles can achieve the wideband MVDR criterion and result in minimum output power of the beamformer. The steepest descent algorithm is suggested for iteratively updating the focusing angles for beamformers to null both stationary and nonstationary interferences. For direction finding applications, the same auto-focusing procedures can be applied directly by presuming a dummy looking direction. Simulation results show that the performances of beamforming and direction finding applications are greatly improved by the proposed auto-focusing algorithm.< >

关键词： Wideband Direction of arrival estimation Frequency array signal processing Narrowband sensor arrays Covariance matrix Power generation Iterative algorithms Interference

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Enhanced Automotive Radar Collaborative Sensing by Exploiting Constructive Interference

Enhanced Automotive Radar Collaborative Sensing by Exploitin...

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sensor array and multichannel signal processing workshop

作者： Lifan Xu Shunqiao Sun A. Lee Swindlehurst Department of Electrical and Computer Engineering University of Alabama Tuscaloosa AL Center for Pervasive Communications and Computing University of California Irvine CA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

Automotive radar emerges as a crucial sensor for autonomous vehicle perception. As more cars are equipped radars, radar interference is an unavoidable challenge. Unlike conventional approaches such as interference mitigation and interference avoiding technologies, this paper introduces an innovative collaborative sensing scheme with multiple automotive radars that exploits constructive interference. Through collaborative sensing, our method optimally aligns cross-path interference signals from other radars with another radar's self-echo signals, thereby significantly augmenting its target detection capabilities. This approach alleviates the need for extensive raw data sharing between collaborating radars. Instead, only an optimized weighting matrix needs to be exchanged between the radars. This approach considerably decreases the data bandwidth requirements for the wireless channel, making it a more feasible and practical solution for automotive radar collaboration. Numerical results demonstrate the effectiveness of the constructive interference approach for enhanced object detection capability.

关键词： Wireless communication Wireless sensor networks Radar cross-sections Collaboration Radar detection Radar Interference

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Semi-Passive RIS-Aided Sequential Channel Estimation and Prediction

Semi-Passive RIS-Aided Sequential Channel Estimation and Pre...

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sensor array and multichannel signal processing workshop

作者： Mirza A. Haider Yimin D. Zhang Yanwu Ding Dan Shen Khanh Pham Genshe Chen Department of Electrical and Computer Engineering Temple University Philadelphia PA USA Department of Electrical and Computer Engineering Wichita State University Wichita KS USA Intelligent Fusion Technology Inc. Germantown MD USA Air Force Research Laboratory Kirtland Air Force Base NM USA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

The popularity of mmWave in 5G and future communications is hindered by challenging propagation environments, such as line-of-sight obstruction. Reconfigurable intelligent surfaces (RIS) address this issue by dynamically modifying wireless channels, thereby enhancing data rates, reducing latency, and improving reliability in non-line-of-sight scenarios. For high data-rate communication and precise mobile user localization, a large RIS is required, resulting in a high pilot overhead for channel estimation. To address this issue, we exploit a semi-passive RIS with sparsely distributed active RIS elements in lieu of fully passive RIS. This approach efficiently enables channel estimation both between the base station and the RIS as well as between the RIS and the mobile users. Structured covariance matrix interpolation optimally utilizes the array aperture from the sparsely placed active RIS elements. Recognizing the need for frequent channel estimation, we introduce a recurrent neural network-based model for sequential channel prediction, resulting in a significant reduction of the required training pilot signals. Simulation results affirm the capability and effectiveness of the proposed approach to enhance data transmission.

关键词： Wireless communication Training Wireless sensor networks Machine learning algorithms array signal processing Simulation Channel estimation

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Enhanced Jamming Suppression in Colocated MIMO Radar with Fluid Antenna array

Enhanced Jamming Suppression in Colocated MIMO Radar with Fl...

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sensor array and multichannel signal processing workshop

作者： Linlong Wu Bhavani Shankar M. R. Wei Liu Björn Ottersten Interdisciplinary Center for Security Reliability and Trust (SnT) University of Luxembourg School of Electronic Engineering and Computer Science Queen Mary University of London

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

Beyond traditional solid-state antenna, fluid antennas (FAs) exhibit unparalleled reconfigurability, drawing significant interest for applications in wireless communications and radar. This paper presents a design of FA array (FAA) MIMO radar for improved target detection in the presence of jammers, highlighting the advantages of FAA in sensing scenarios. By utilizing flexible positioning of FAAs, we introduce the antenna position vector (APV) as a design variable, in addition to waveforms, aiming to maximize the signal-to-interference plus noise ratio (SINR) with constraints to maintain waveform unimodularity and avoid FA coupling. The formulated nonconvex problem is tackled by an iterative algorithm based on the block majorization-minimization framework. Each iteration involves solving linearly constrained quadratic programming problems for APV optimization and updating the waveforms via a closed-form solution. Simulation results reveal that the designed APV s of the transmit and receiving FAAs can automatically balance angular resolution and ambiguity, which together with the optimized waveform, significantly enhances the SINR through enhanced jamming suppression. This improvement is attributed to increased flexibility across spatial and frequency dimensions facilitated by the FAAs.

关键词： MIMO radar Interference Object detection Radar antennas Iterative methods Jamming Optimization

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Weight-Constrained Nested arrays with $w(1) = w(2) = 0$ for Reduced Mutual Coupling

Weight-Constrained Nested Arrays with $w(1) = w(2) = 0$ for ...

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sensor array and multichannel signal processing workshop

作者： Pranav Kulkarni P. P. Vaidyanathan Department of Electrical Engineering 136-93 California Institute of Technology Pasadena CA USA

ISBN: (数字)9798350344813

ISBN: (纸本)9798350344820

It is well-known that appropriately designed sparse arrays can identify $\mathcal{O}(N^array)$ directions of arrivals (DOAs) using $N$ sensors through the difference coarray domain. Many sparse arrays have been proposed in the past decade that also reduce the impact of mutual coupling by reducing the coarray weights at small lags. In this paper, we propose weight-constrained nested arrays (WCNA) that have coarray weights satisfying either $w(1)=0$ or $w(1)=w(2)=0$ . These arrays are obtained by appropriately expanding a nested array and augmenting it with several additional sensors. We prove that the proposed arrays contain $\mathcal{O}(N^array)$ contiguous lags in their difference coarrays. Although the uniform segment in the coarray is not centered around 0, appropriately modified coarray-MUSIC can be applied to estimate the DOAs. We demonstrate through Monte-Carlo simulations that such arrays are robust to the presence of strong mutual coupling and can perform better than many other sparse arrays proposed in the literature when the mutual coupling is present. The proposed arrays are also observed to have longer uniform segments in the difference coarray than that of CADiS arrays (having $w(1)= 0$ ) and thus can identify more DOAs than CADiS arrays using coarray-MUSIC.

关键词： Couplings Mutual coupling Direction-of-arrival estimation Monte Carlo methods array signal processing Conferences sensors

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An iterative virtual-ESPRIT algorithm (IVESPA)

An iterative virtual-ESPRIT algorithm (IVESPA)

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ieee workshop on Statistical signal and array processing

作者： E. Gonen J.M. Mendel Signal and Image Processing Institute Department of Electrical Engineering-Systems University of Southern California Los Angeles CA USA

An iterative algorithm (IVESPA) for narrow-band direction-finding and waveform recovery is presented which is based on the virtual-ESPRIT (VESPA) of Dogan and Mendel (see ieee Trans. on signal processing, vol.42, no.5, p.1200, 1995). IVESPA can handle the case where the data length is short and some of the sources have very small higher-order statistics compared to others, in which case VESPA needs more data to localize the weak sources. IVESPA can be applied to uncalibrated and arbitrary-shape arrays provided the array has two sensors having identical response-the same requirement as in VESPA. Results of a real data experiment demonstrating IVESPA are presented.

关键词： Iterative algorithms sensor arrays Binary phase shift keying Narrowband Covariance matrix Higher order statistics Constellation diagram signal processing Image processing Parameter estimation

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Experimental Direction Finding Results Using a Time-Multiplexed Co-array Approach

Experimental Direction Finding Results Using a Time-Multiple...

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ieee International workshop on Computational Advances in Multi-sensor Adaptive processing (CAMSAP)

作者： Clemens Allmann Jannik Springer Marc Oispuu Wolfgang Koch Dept. Sensor Data and Information Fusion Fraunhofer Institute for Communication Information Processing and Ergonomics (FKIE) Wachtberg Germany

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.

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Beam patterns of an underwater acoustic vector hydrophone

Beam patterns of an underwater acoustic vector hydrophone

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ieee workshop on Statistical signal and array processing

作者： K.T. Wong Hoiming Chi Department of Electronic Engineering Chinese University of Hong Kong New Territories Hong Kong China School of Electrical & 8mputer Engineering Purdue University West Lafayette IN USA

A vector hydrophone is composed of two or three spatially collocated but orthogonally oriented velocity hydrophones plus an optional collocated pressure hydrophone. A vector hydrophone may form azimuth-elevation beams that are frequency invariant, bandwidth invariant and same for the near field as for the far field. This paper characterizes the maximum-SINR beam pattern and the matched-filter beam pattern associated with a single underwater acoustic vector hydrophone.

关键词： Acoustic beams Underwater acoustics Sonar equipment Frequency Structural beams Bandwidth Pattern matching Acoustic measurements Sea measurements sensor arrays

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