14,307 research outputs found
The Fundamentals of Radar with Applications to Autonomous Vehicles
Radar systems can be extremely useful for applications in autonomous vehicles. This paper seeks to show how radar systems function and how they can apply to improve autonomous vehicles. First, the basics of radar systems are presented to introduce the basic terminology involved with radar. Then, the topic of phased arrays is presented because of their application to autonomous vehicles. The topic of digital signal processing is also discussed because of its importance for all modern radar systems. Finally, examples of radar systems based on the presented knowledge are discussed to illustrate the effectiveness of radar systems in autonomous vehicles
Infinite non-causality in active cancellation of random noise
Active cancellation of broadband random noise requires the detection of the
incoming noise with some time advance. In an duct for example this advance must
be larger than the delays in the secondary path from the control source to the
error sensor. In this paper it is shown that, in some cases, the advance
required for perfect noise cancellation is theoretically infinite because the
inverse of the secondary path, which is required for control, can include an
infinite non-causal response. This is shown to be the result of two mechanisms:
in the single-channel case (one control source and one error sensor), this can
arise because of strong echoes in the control path. In the multi-channel case
this can arise even in free field simply because of an unfortunate placing of
sensors and actuators. In the present paper optimal feedforward control is
derived through analytical and numerical computations, in the time and
frequency domains. It is shown that, in practice, the advance required for
significant noise attenuation can be much larger than the secondary path
delays. Practical rules are also suggested in order to prevent infinite
non-causality from appearing
MIMO radar with broadband waveforms: Smearing filter banks and 2D virtual arrays
In this paper MIMO radars with broadband
waveforms are considered. A time domain viewpoint is
taken, which allows frequency invariant beamforming
with a filter bank called the smearing filter bank. Motivated
by recent work on two dimensional arrays to
obtain frequency invariant one dimensional beams, the
generation of two dimensional virtual arrays from one
dimensional ULAs is also considered. It is also argued
that when the smearing filter bank is appropriately used,
frequency invariant 2D beams can be generated
Principles of Neuromorphic Photonics
In an age overrun with information, the ability to process reams of data has
become crucial. The demand for data will continue to grow as smart gadgets
multiply and become increasingly integrated into our daily lives.
Next-generation industries in artificial intelligence services and
high-performance computing are so far supported by microelectronic platforms.
These data-intensive enterprises rely on continual improvements in hardware.
Their prospects are running up against a stark reality: conventional
one-size-fits-all solutions offered by digital electronics can no longer
satisfy this need, as Moore's law (exponential hardware scaling),
interconnection density, and the von Neumann architecture reach their limits.
With its superior speed and reconfigurability, analog photonics can provide
some relief to these problems; however, complex applications of analog
photonics have remained largely unexplored due to the absence of a robust
photonic integration industry. Recently, the landscape for
commercially-manufacturable photonic chips has been changing rapidly and now
promises to achieve economies of scale previously enjoyed solely by
microelectronics.
The scientific community has set out to build bridges between the domains of
photonic device physics and neural networks, giving rise to the field of
\emph{neuromorphic photonics}. This article reviews the recent progress in
integrated neuromorphic photonics. We provide an overview of neuromorphic
computing, discuss the associated technology (microelectronic and photonic)
platforms and compare their metric performance. We discuss photonic neural
network approaches and challenges for integrated neuromorphic photonic
processors while providing an in-depth description of photonic neurons and a
candidate interconnection architecture. We conclude with a future outlook of
neuro-inspired photonic processing.Comment: 28 pages, 19 figure
Automotive three-microphone voice activity detector and noise-canceller
This paper addresses issues in improving hands-free speech recognition performance in car
environments. A three-microphone array has been used to form a beamformer with leastmean
squares (LMS) to improve Signal to Noise Ratio (SNR). A three-microphone array
has been paralleled to a Voice Activity Detection (VAD). The VAD uses time-delay
estimation together with magnitude-squared coherence (MSC)
Recycler barrier RF buckets
The Recycler Ring at Fermilab uses a barrier rf system for all of its rf
manipulations. In this paper, I will give an overview of historical perspective
on barrier rf systems, the longitudinal beam dynamics issues, aspects of rf
linearization to produce long flat bunches and methods used for emittance
measurements of the beam in the RR barrier rf buckets. Current rf manipulation
schemes used for antiproton beam stacking and longitudinal momentum mining of
the RR beam for the Tevatron collider operation are explained along with their
importance in spectacular success of the Tevatron luminosity performance.Comment: 30 pp. Submitted as a chapter in a book on the Tevatron edited by
Valeri Lebedev and Vladimir Shiltse
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