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检索条件"任意字段=Systems of Signals Generating and Processing in the Field of on Board Communications"

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Portable 8 channel DAQ system for Cd(Zn)Te sensors

Portable 8 channel DAQ system for Cd(Zn)Te sensors

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： D. S. Hatzistratis C. P. Lambropoulos V. A. Gnatyuk C. Potiriadis Electronics Sensors and Communications Laboratory Technological Educational Institute of Chalkida Greece Electronics Sensors and Communications Laboratory and the Aircraft Technology Department Technological Educational Institute of Chalkida Greece VE Lashkaryov Institute of Semiconductor Physics National Academy of Sciences of Ukraine Kiev Ukraine Research Institute of Electronics Shizuoka University Hamamatsu Shizuoka Japan Greek Atomic Energy Commission Attiki Greece

We have designed and constructed an 8 channel system for the analog processing, the digitization, the digital processing and acquisition of signals from CdTe / CdZnTe discrete detectors. The system consists of: Discrete charge preamplifiers, discrete semi-Gaussian shapers, 8 A/D converters working in parallel, FPGA for the pre-processing of the digital signals, high voltage module, USB link for the PC and software. The detectors can be packaged together with a JFET front end transistor and plugged in the mother board which contains the rest of the charge amplifiers, the shapers and single to differential signal converters. The system can be used for the characterization of the detectors or as a portable instrument for spectroscopy.

关键词： Data acquisition Sensor systems Detectors Signal design Signal processing Preamplifiers field programmable gate arrays Voltage Universal Serial Bus Packaging

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Power Efficient Real-Time Traffic Signal Classification for Autonomous Driving Using FPGAs

Power Efficient Real-Time Traffic Signal Classification for ...

引用

International Conference on communications, Signal processing, and their Applications (ICCSPA)

作者： Rashed Al Amin Md Shahi Amran Hossain Leon Tjard Schmid Veit Wiese Roman Obermaisser Institute for Embedded Systems University of Siegen Siegen Germany

ISBN: (数字)9798350384819

ISBN: (纸本)9798350384826

The significant advancements in research within the domain of Advanced Driver-Assistance systems (ADAS) have been significantly propelled by the integration of Artificial Intelligence (AI) and Deep Learning (DL). The detection and classification of traffic signals are pivotal for ensuring driver safety and comfort, prompting the development of numerous detection and classification methodologies in recent times. Convolutional Neural Networks (CNNs) and field Programmable Gate Arrays (FPGAs) have individually demonstrated notable efficacy in signal processing, image detection, and image classification tasks. However, the amalgamation of CNNs and FPGAs for traffic signal classification offers enhanced flexibility, accuracy, and resource efficiency. This study proposes a software-hardware co-design approach for the development of a resource-efficient real-time traffic signal classification system tailored for FPGAs utilizing the CNN algorithm. The software implementation has been carried out within the TensorFlow framework, while the hardware implementation is executed via the Xilinx Vivado 2023.1 platform and rigorously evaluated using the Xilinx ZCU102 FPGA board. Experimental findings demonstrate that the traffic signal classification accuracy can attain approximately 99.98% at a frame rate of 84139 frames per second (FPS) on the FPGA platform, with a power consumption of 4.4W. The exceptionally low latency and heightened accuracy exhibited by the proposed system render it highly advantageous for ADAS and other safety-critical applications.

关键词： Accuracy Software algorithms Pattern classification Signal processing algorithms Real-time systems Software Safety Convolutional neural networks Artificial intelligence field programmable gate arrays

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Near-field Measurement System for the Upper Mid-Band

Near-Field Measurement System for the Upper Mid-Band

引用

Asilomar Conference on signals, systems & Computers

作者： Ali Rasteh Raghavendra Palayam Hari Hao Guo Marco Mezzavilla Sundeep Rangan Tandon School of Engineering New York University Brooklyn NY USA Department of Electrical Engineering Chalmers University of Technology Gothenburg Sweden Dipartimento di Elettronica Informazione e Bioingegneria (DEIB) Politecnico di Milano Milan Italy

ISBN: (数字)9798350354058

ISBN: (纸本)9798350354065

The upper mid-band (or FR3, spanning 6–24 GHz) is a crucial frequency range for next-generation mobile networks, offering a favorable balance between coverage and spectrum efficiency. From another perspective, the systems operating in the near-field in both indoor environment and outdoor environments can support line-of-sight multiple input multiple output (MIMO) communications and be beneficial from the FR3 bands. In this paper, a novel method is proposed to measure the near-field parameters leveraging a recently developed reflection model where the near-field paths can be described by their image points. We show that these image points can be accurately estimated via triangulation from multiple measurements with a small number of antennas in each measurement, thus affording a low-cost procedure for near-field multi-path parameter extraction. A preliminary experimental apparatus is presented comprising 2 transmit and 2 receive antennas mounted on a linear track to measure the 2 × 2 MIMO channel at various displacements. The system uses a recently-developed wideband radio frequency (RF) transceiver board with fast frequency switching, an FPGA for fast baseband processing, and a new parameter extraction method to recover paths and spherical characteristics from the multiple 2 × 2 measurements.

关键词： Antenna measurements Switches Apertures Reflection MIMO Transceivers Frequency measurement Velocity measurement Wideband Parameter extraction

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Improving Radio Tomographic Images using multipath signals

Improving Radio Tomographic Images using multipath signals

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IEEE International Conference on Wireless Information Technology and systems (ICWITS)

作者： Brian Beck Robert Baxley Xiaoli Ma Information and Communications Laboratory Georgia Tech Research Institute Atlanta USA 30318

Radio Tomographic Imaging (RTI) seeks to reconstruct useful images of the environment through measurements of received signal strength (RSS) in a network of radios. RSS data is compiled over many transmissions, and after processing the data an estimated image of the spatial loss field (SLF) of the area can be recovered. This image represents the estimated radio frequency signal attenuation in dB that occurs at each pixel location. An ideal RTI system could form images of floor plans and objects that are located inside buildings or behind other obstructions [1]. One of the challenges in RTI is the presence of multipath signals. Such signals reach the receiver at some delay with respect to the line-of-sight (LOS) signal. Presently, there has been no attempt to deal with such signals other than to reject them, at best. Thus, potentially useful links in a network of radios cannot be utilized, because their LOS signal path does not pass through the area to be imaged. This paper presents a method by which multipath signals may be treated as useful measurements in an RTI system. Doing so informs the existing SLF image, improving image quality and reducing root-mean-squared-error (RMSE), which is the focus of this paper. It is also possible to use such measurements to create an estimate of the area's reflectivity loss field, or RLF. Such an estimated image represents the reflection coefficient (in dB) seen at each reflective pixel location. This image could be useful in identifying interior features that are reflective, such as large metal objects or metal walls. Thus, two separate images are estimated simultaneously, an SLF image of pixel attenuation, and an RLF image of pixel reflectivity values. Both estimated images remain linear functions of the received data. We refer to this new model as the Augmented Multipath Linear generating Model, or AMLGM. After presenting the AMLGM model, we discuss the results of our simulations showing improvements in both subjective and obj

关键词： Portable document format IEEE Xplore

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S-band radar based on Lyrtech Software Defined Radio

S-band radar based on Lyrtech Software Defined Radio

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IEEE National Conference on Aerospace and Electronics (NAECON)

作者： Siyang Cao Yuan F. Zheng Robert L. Ewing Department of Electrical and Computer Engineering The Ohio State University Columbus Ohio Sensors Directorate US Air Force Research Laboratory Wright-Patterson Air Force Base Ohio

The focus of this paper is on the development of Sband radar using the Lyrtech Small Form Factor (SFF) Software Defined Radio (SDR) for generating the Chirp-Z signal. The Lyrtech SDR platform has a high speed AD/DA conversion board and a tunable RF board, which enable a flexible radar design. To achieve a functional radar system, the development kids of the SFF SDR have to be fully utilized. This paper introduces the usage of both software and hardware resources of the SDR for converting the SDR into a waveform-programmable radar, which can benefit the study of radar systems using generic SDR platforms. Based on our approach, we develop an S-band radar which is used to transmit a Chirp-Z radar waveform modulated on a 2.2GHz carrier. The structure and the development kits of the SFF platform are introduced, and the development of the S-band radar by using the development kits discussed. Finally, both transmitted and received Chirp-Z signals using the developed radar system are demonstrated.

关键词： Radar Digital signal processing field programmable gate arrays Software Radio frequency Real-time systems Data conversion

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Design and Analysis of Potential Phased Array Configurations for Wideband Near-field Beamforming

Design and Analysis of Potential Phased Array Configurations...

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IEEE International Symposium on Phased Array systems and Technology

作者： Duccio Delfini Nuutti Tervo Muhammad Y. Javed Marko E. Leinonen Aarno Pärssinen Centre for Wireless Communications Radio Technologies (CWC-RT) University of Oulu Oulu Finland

ISBN: (数字)9798350392142

ISBN: (纸本)9798350392159

Near-field beamforming has similar challenges with beam squint like the typical far-field beamforming. This paper analyzes the spatial and frequency domain behaviors of a arc-shaped phased array with a corporate-fed and a series-fed feeding architecture. Both the configurations have the antennas placed in the geometric locus having a constant electrical length of the optical paths from the focal point in space to the power-combining node at the printed circuit board (PCB) through individual antenna elements. In this way, the signals from all the antennas will arrive in phase at the summing node in a given link condition. The impact of the dielectric constant of the PCB material is also considered. In the corporate-fed scheme, simulation results show that the array has a focal point whose position is independent from the frequency, due to the equalized delays of the phased array paths. Moreover, the frequency response in such a focal point is flat and the band is potentially not limited by beam squint. On the contrary, with a series-fed architecture, phase shifters can be added to compensate for the transmission line lengths among the antennas, at the cost of a reduced bandwidth, due to the angular-dependent squinting phenomenon. The paper reveals that the behavior of the beam squint phenomenon can be altered by geometric array configuration and feeding architecture in analog beamforming systems.

关键词： Phased arrays Array signal processing Simulation Printed circuits Focusing Routing Frequency response Noise measurement Wideband Transmission line antennas

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METHOD OF generating SELF-ORGANIZING STRUCTURE OF NAVIGATION COMPLEX

METHOD OF GENERATING SELF-ORGANIZING STRUCTURE OF NAVIGATION...

引用

作者： Zaets Viktor Fedorovich Kulabukhov Vladimir Sergeevich Kachanov Boris Olegovich Tuktarev Nikolaj Alekseevich Grishin Dmitrij Viktorovich Akhmedova Sabina Kurbanovna

标准号: RU2635825(C1)

field: ***: basis of the method contains a multiple redundancy of the information exchange channels, sensors, calculators, and control means and a reconfiguration of the architecture of computing devices and the structure of the navigation complex, depending on the status of the modules of computing devices and onboard navigation systems of the aircraft. The method provides for the use of inertial navigation, an air signal system, satellite navigation, radio engineering systems, an optoelectronic navigation system, and astronavigation and other on-board navigation systems, as well as the application of the Kalman filter. In addition, the modules of computing devices, all incoming and outgoing signals are monitored for adequacy to their threshold and model values assigned by the complex itself on the basis of analysis of the current parameters. A variety of measured parameters of the primary navigation information received from various onboard navigation systems are processed by finding the optimal, adaptive, or robust estimate of the current navigation parameters of the aircraft. The modified optimal, adaptive and robust algorithms for processing navigation information depending on the level of errors, noise, reliability and the emerging problem situation with incoming information, as well as a program of logical models and (or) neural network algorithms are used for deciding the reconfiguration of the architecture of redundant computer calculators and reorganization of the structure of the entire navigation ***: expanding the functionality of the navigation complex and increasing the survivability, reliability and fail-safety of the integrated navigation system.4 cl

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8A-3 System Architecture of an Experimental Synthetic Aperture Real-Time Ultrasound System

8A-3 System Architecture of an Experimental Synthetic Apertu...

引用

IEEE Symposium (IUS) Ultrasonics

作者： J. A. Jensen M. Hansen B. G. Tomov S. I. Nikolov H. Holten-Lund Svetoslav Ivanov Nikolov Technical University of Denmark Lvnzby Denmark Hans Holten-Lund Prevas A/S Copenhagen SV Denmark Prevas A/S Copenhagen Denmark

Synthetic aperture (SA) ultrasound imaging has many advantages in terms of flexibility and accuracy. One of the major drawbacks is, however, that no system exists, which can implement SA imaging in real time due to the very high number of calculations amounting to roughly 1 billion complex focused samples per second per receive channel. Real time imaging is a key aspect in ultrasound, and to truly demonstrate the many advantages of SA imaging, a system usable in the clinic should be made. The paper describes a system capable of real time SA B-mode and vector flow imaging. The synthetic aperture real-time ultrasound system (SARUS) has been developed through the last 2 years and can perform real time SA imaging and storage of RF channel data for multiple seconds. SARUS consists of a 1024 channel analog front-end and 64 identical digital boards. Each has 16 transmit channels and 16 receive channels both with a sampling frequency of 70 MHz/12 bits for arbitrary waveform emission and reception. The board holds live Virtex 4FX100 FPGAs, where one houses a PowerPC CPU used for control. The remaining four are used for generation of transmit signals, receive storage and matched Alter processing, and focusing and summing of data. Each FPGA can perform 80 billion multiplications/s and the full system can perform 25,600 billion multiplications/s. The FPGAs are connected through multiple 3.2 Gbit Rocket IO links, which makes it possible to send more than 1.6 GBytes/s of data between the FPGAs and between boards. The system can concurrently sample in 1024 channels, thus, generating 140 GBytes/s of data, which also can be processed in real time or stored. The system is controlled over a 1 Gbit/s Ethernet link to each digital board that runs Linux. The control and processing are divided into functional units that are accessed through an IP numbering scheme in a hierarchical order. A single controlling mechanism can, thus, be used to access the whole system from any PC. It is also p

关键词： Real time systems Ultrasonic imaging field programmable gate arrays Focusing Control systems Image storage Radio frequency Signal sampling Signal generators Signal processing

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