75 research outputs found
Physical Knowledge Based Scalable Phased Array Antenna Modeling for Radar Systems
The development of a large-scale phased array radar system such as the future MPAR will need a cost-effective tool for predicting electromagnetic characteristics of antennas. Simulating and optimizing of large finite phased array antennas using commercially available solvers are time-consuming and memory-extensive even though they are highly capable of solving general electromagnetic problems with acceptable accuracy. In this work, a full-wave electromagnetic solver based on finite-difference time-domain (FDTD) method has been developed for simulating phased array antennas. The planar array or array element can be simulated, optimized, or analyzed using FDTD theory based on an orthogonal, regular Cartesian lattice. The FDTD updating equation for diagonally anisotropic material was obtained for periodic structure based on the cylindrical coordinate system. This FDTD algorithm can be used to simulate active element patterns of conformally cylindrical array antennas. The simulation of active element patterns in an infinite faceted-cylindrical array was accomplished with a nonorthogonal and unstructured grid. The derivation of FDTD theory and periodic boundary condition for a structure based on the nonorthogonal and unstructured grid is presented. In this work, two simulation schemes, which are based on computed near-field current density information and the physical knowledge of finite array antennas, were presented for predicting broadside array radiation characteristics with the consumption of relatively low computational resources. The validation of the simulation program and schemes was fulfilled by comparing simulation results with measurements taken by near-field and far-field techniques
TECHNIQUES AND INSTRUMENTATION FOR PHASED ARRAY CALIBRATION
Active phased arrays suffer the inherent problem of excitation errors, i.e., incorrect phase and amplitude excitation of the antenna elements. Excitation errors degrade critical performance parameters since they increase sidelobe level and reduce antenna gain and beam pointing accuracy. To ensure the correct operation of the array, it is necessary to quantify and compensate the phase and amplitude errors of each antenna element. The compensation is accomplished by calibrating the phased array radar. Calibration challenges include the quantification and compensation of errors initially, as well as maintenance of the calibration state once the system is fielded. This dissertation presents research on improving the calibration of the active phased array front-end for radar systems. A combination of custom-made instrumentation with initial and in-situ calibration techniques is proposed to calibrate an active array test-bed. The test-bed consists of an 88 elements C-band array, and was developed in collaboration with NCAR-EOL to provide software and hardware features that enable the proposed calibration schemes.
Different calibration techniques were experimentally tested. First, an initial calibration technique for phased array prototypes is proposed. The technique employs a planar NF scanner to sample the excitation of each antenna element, and also to scan the embedded element antenna patterns of the prototype. The novelty of the approach is that it combines the collected excitation data with the scanned embedded elements to allow the prediction of both the co- and cross-polar pattern components of the array. On the other hand, to explore techniques that do not rely on external equipment and use built-in feedback mechanisms instead, mutual coupling-based calibration is reviewed and implemented. Two techniques were tested: an initial type, proposed by Bekers et al., and a proposed in-situ type, conceived specifically for analog architectures, to track errors during fielded operation. It was found that mutual coupling calibration techniques are excellent options for in-situ applications, with a root mean squared error (RMSE) in phase and amplitude of 0.75 and 0.12 dB, respectively. Whereas, for initial type calibration, the tested mutual coupling-based technique yields a RMSE of 2.5 and 1 dB, respectively, which is not accurate enough to replace conventional park and probe for initial calibration of small arrays. Finally, to complement calibration theory, the required calibration instrumentation is reviewed, and more importantly, a novel scanner, designed exclusively for phased array front-end characterization, is introduced
Beyond the spatio-temporal limits of atmospheric radars: inverse problem techniques and MIMO systems
The Earth’s upper atmosphere (UA) is a highly dynamic region dominated by atmospheric waves and stratified turbulence covering a wide range of spatio-temporal scales. A comprehensive study of the UA requires measurements over a broad range of frequencies and spatial wavelengths, which are prohibitively costly. To improve the understanding of the UA, an investment in efficient and large observational infrastructures is required. This work investigates remote sensing techniques based on MIMO and inverse problems techniques to improve the capabilities of current atmospheric radars
6G Wireless Systems: Vision, Requirements, Challenges, Insights, and Opportunities
Mobile communications have been undergoing a generational change every ten
years or so. However, the time difference between the so-called "G's" is also
decreasing. While fifth-generation (5G) systems are becoming a commercial
reality, there is already significant interest in systems beyond 5G, which we
refer to as the sixth-generation (6G) of wireless systems. In contrast to the
already published papers on the topic, we take a top-down approach to 6G. We
present a holistic discussion of 6G systems beginning with lifestyle and
societal changes driving the need for next generation networks. This is
followed by a discussion into the technical requirements needed to enable 6G
applications, based on which we dissect key challenges, as well as
possibilities for practically realizable system solutions across all layers of
the Open Systems Interconnection stack. Since many of the 6G applications will
need access to an order-of-magnitude more spectrum, utilization of frequencies
between 100 GHz and 1 THz becomes of paramount importance. As such, the 6G
eco-system will feature a diverse range of frequency bands, ranging from below
6 GHz up to 1 THz. We comprehensively characterize the limitations that must be
overcome to realize working systems in these bands; and provide a unique
perspective on the physical, as well as higher layer challenges relating to the
design of next generation core networks, new modulation and coding methods,
novel multiple access techniques, antenna arrays, wave propagation,
radio-frequency transceiver design, as well as real-time signal processing. We
rigorously discuss the fundamental changes required in the core networks of the
future that serves as a major source of latency for time-sensitive
applications. While evaluating the strengths and weaknesses of key 6G
technologies, we differentiate what may be achievable over the next decade,
relative to what is possible.Comment: Accepted for Publication into the Proceedings of the IEEE; 32 pages,
10 figures, 5 table
Digital Signal Processor Based Real-Time Phased Array Radar Backend System and Optimization Algorithms
This dissertation presents an implementation of multifunctional large-scale phased array radar based on the scalable DSP platform.
The challenge of building large-scale phased array radar backend is how to address the compute-intensive operations and high data throughput requirement in both front-end and backend in real-time. In most of the applications, FPGA or VLSI hardware are typically used to solve those difficulties. However, with the help of the fast development of IC industry, using a parallel set of high-performing programmable chips can be an alternative. We present a hybrid high-performance backend system by using DSP as the core computing device and MTCA as the system frame. Thus, the mapping techniques for the front and backend signal processing algorithm based on DSP are discussed in depth.
Beside high-efficiency computing device, the system architecture would be a major factor influencing the reliability and performance of the backend system. The reliability requires the system must incorporate the redundancy both in hardware and software. In this dissertation, we propose a parallel modular system based on MTCA chassis, which can be reliable, scalable, and fault-tolerant.
Finally, we present an example of high performance phased array radar backend, in which there is the number of 220 DSPs, achieving 7000 GFLOPS calculation from 768 channels. This example shows the potential of using the combination of DSP and MTCA as the computing platform for the future multi-functional large-scale phased array radar
Electromagnetic Wave Theory and Applications
Contains table of contents for Section 3 and reports on seven research projects.Joint Services Electronics Program Contract DAAL03-89-C-0001National Science Foundation Contract ECS 86-20029Schlumberger- Doll ResearchU.S. Army Research Office Contract DAAL03 88-K-0057National Aeronautics and Space Administration Contract NAGW-1617U.S. Navy - Office of Naval Research Contract N00014-89-J-1107National Aeronautics and Space Administration Contract NAGW-1272National Aeronautics and Space Administration Contract 958461Simulation Technologies Contract DAAH01-87-C-0679U.S. Army Corp of Engineers Contract DACA39-87-K-0022WaveTracer, Inc.U.S. Navy - Office of Naval Research Contract N00014-89-J-1019U.S. Air Force Systems - Electronic Systems Division Contract F19628-88-K-0013Digital Equipment CorporationInternational Business Machines CorporationU.S. Department of Transportation Contract DTRS-57-88-C-0007
Compressive Sensing for Microwave and Millimeter-Wave Array Imaging
PhDCompressive Sensing (CS) is a recently proposed signal processing technique that has
already found many applications in microwave and millimeter-wave imaging. CS theory
guarantees that sparse or compressible signals can be recovered from far fewer measure-
ments than those were traditionally thought necessary. This property coincides with the
goal of personnel surveillance imaging whose priority is to reduce the scanning time as
much as possible. Therefore, this thesis investigates the implementation of CS techniques
in personnel surveillance imaging systems with different array configurations.
The first key contribution is the comparative study of CS methods in a switched array
imaging system. Specific attention has been paid to situations where the array element
spacing does not satisfy the Nyquist criterion due to physical limitations. CS methods are
divided into the Fourier transform based CS (FT-CS) method that relies on conventional
FT and the direct CS (D-CS) method that directly utilizes classic CS formulations. The
performance of the two CS methods is compared with the conventional FT method in
terms of resolution, computational complexity, robustness to noise and under-sampling.
Particularly, the resolving power of the two CS methods is studied under various cir-
cumstances. Both numerical and experimental results demonstrate the superiority of CS
methods. The FT-CS and D-CS methods are complementary techniques that can be
used together for optimized efficiency and image reconstruction.
The second contribution is a novel 3-D compressive phased array imaging algorithm
based on a more general forward model that takes antenna factors into consideration.
Imaging results in both range and cross-range dimensions show better performance than
the conventional FT method. Furthermore, suggestions on how to design the sensing con-
figurations for better CS reconstruction results are provided based on coherence analysis.
This work further considers the near-field imaging with a near-field focusing technique
integrated into the CS framework. Simulation results show better robustness against
noise and interfering targets from the background.
The third contribution presents the effects of array configurations on the performance of
the D-CS method. Compressive MIMO array imaging is first derived and demonstrated
with a cross-shaped MIMO array. The switched array, MIMO array and phased array are
then investigated together under the compressive imaging framework. All three methods
have similar resolution due to the same effective aperture. As an alternative scheme for
the switched array, the MIMO array is able to achieve comparable performance with far
fewer antenna elements. While all three array configurations are capable of imaging with
sub-Nyquist element spacing, the phased array is more sensitive to this element spacing
factor. Nevertheless, the phased array configuration achieves the best robustness against
noise at the cost of higher computational complexity.
The final contribution is the design of a novel low-cost beam-steering imaging system
using a flat Luneburg lens. The idea is to use a switched array at the focal plane of
the Luneburg lens to control the beam-steering. By sequentially exciting each element,
the lens forms directive beams to scan the region of interest. The adoption of CS for
image reconstruction enables high resolution and also data under-sampling. Numerical
simulations based on mechanically scanned data are conducted to verify the proposed
imaging system.China Scholarship Council
Engineering and Physical Sciences
Research Council (EPSRC)
funding (EP/I034548/1)
The Telecommunications and Data Acquisition Report
This quarterly publication provides archival reports on developments in programs managed by JPL's Telecommunications and Mission Operations Directorate (TMOD), which now includes the former Telecommunications and Data Acquisition (TDA) Office. In space communications, radio navigation, radio science, and ground-based radio and radar astronomy, it reports on activities of the Deep Space Network (DSN) in planning, supporting research and technology, implementation, and operations. Also included are standards activity at JPL for space data and information systems and reimbursable DSN work performed for other space agencies through NASA. The preceding work is all performed for NASA's Office of Space Communications (OSC). TMOD also performs work funded by other NASA program offices through and with the cooperation of OSC. The first of these is the Orbital Debris Radar Program funded by the Office of Space Systems Development. It exists at Goldstone only and makes use of the planetary radar capability when the antennas are configured as science instruments making direct observations of the planets, their satellites, and asteroids of our solar system. The Office of Space Sciences funds the data reduction and science analyses of data obtained by the Goldstone Solar System Radar. The antennas at all three complexes are also configured for radio astronomy research and, as such, conduct experiments funded by the National Science Foundation in the U.S. and other agencies at the overseas complexes. These experiments are either in microwave spectroscopy or very long baseline interferometry. Finally, tasks funded under the JPL Director's Discretionary Fund and the Caltech President's Fund that involve TMOD are included. This and each succeeding issue of 'The Telecommunications and Data Acquisition Progress Report' will present material in some, but not necessarily all, of the aforementioned programs
NASA Tech Briefs, February 1993
Topics include: Communication Technology; Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Computer Programs; Mechanics; Machinery; Fabrication Technology; Mathematics and Information Sciences; Life Sciences
A White Paper on Broadband Connectivity in 6G
Executive Summary
This white paper explores the road to implementing broadband connectivity in future 6G wireless systems. Different categories of use cases are considered, from extreme capacity with peak data rates up to 1 Tbps, to raising the typical data rates by orders-of-magnitude, to support broadband connectivity at railway speeds up to 1000 km/h. To achieve these goals, not only the terrestrial networks will be evolved but they will also be integrated with satellite networks, all facilitating autonomous systems and various interconnected structures.
We believe that several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G. At the infrastructure level, we consider ultra-massive MIMO technology (possibly implemented using holographic radio), intelligent reflecting surfaces, user-centric and scalable cell-free networking, integrated access and backhaul, and integrated space and terrestrial networks. At the spectrum level, the network must seamlessly utilize sub-6 GHz bands for coverage and spatial multiplexing of many devices, while higher bands will be used for pushing the peak rates of point-to-point links. The latter path will lead to THz communications complemented by visible light communications in specific scenarios. At the protocol/algorithmic level, the enablers include improved coding, modulation, and waveforms to achieve lower latencies, higher reliability, and reduced complexity. Different options will be needed to optimally support different use cases. The resource efficiency can be further improved by using various combinations of full-duplex radios, interference management based on rate-splitting, machine-learning-based optimization, coded caching, and broadcasting. Finally, the three levels of enablers must be utilized not only to deliver better broadband services in urban areas, but also to provide full-coverage broadband connectivity must be one of the key outcomes of 6G
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