121,236 research outputs found
BoA: a versatile software for bolometer data reduction
Together with the development of the Large APEX Bolometer Camera (LABOCA) for
the Atacama Pathfinder Experiment (APEX), a new data reduction package has been
written. This software naturally interfaces with the telescope control system,
and provides all functionalities for the reduction, analysis and visualization
of bolometer data. It is used at APEX for real time processing of observations
performed with LABOCA and other bolometer arrays, providing feedback to the
observer. Written in an easy-to-script language, BoA is also used offline to
reduce APEX continuum data. In this paper, the general structure of this
software is presented, and its online and offline capabilities are described.Comment: 10 pages, 4 figure
Simulation of Multi-element Antenna Systems for Navigation Applications
The application of user terminals with multiple antenna inputs for use with the global satellite navigation systems like GPS and Galileo becomes more and more attraction in last years. Multiple antennas may be spread over the user platform and provide signals required for the platform attitude estimation or may be arranged in an antenna array to be used together with array processing algorithms for improving signal reception, e.g. for multipath and interference mitigation. In order to generate signals for testing of receivers with multiple antenna inputs and corresponding receiver algorithms in a laboratory environment a unique HW signal simulation tool for wavefront simulation has been developed. The signals for a number of antenna elements in a flexible user defined geometry are first generated as digital signals in baseband and then mixed up to individual RF-outputs. The paper describes the principle function of the system and addresses some calibration issues. Measurement set-ups and results of data processing with simulated signals for different applications are shown and discussed
Design and implementation of a multi-octave-band audio camera for realtime diagnosis
Noise pollution investigation takes advantage of two common methods of
diagnosis: measurement using a Sound Level Meter and acoustical imaging. The
former enables a detailed analysis of the surrounding noise spectrum whereas
the latter is rather used for source localization. Both approaches complete
each other, and merging them into a unique system, working in realtime, would
offer new possibilities of dynamic diagnosis. This paper describes the design
of a complete system for this purpose: imaging in realtime the acoustic field
at different octave bands, with a convenient device. The acoustic field is
sampled in time and space using an array of MEMS microphones. This recent
technology enables a compact and fully digital design of the system. However,
performing realtime imaging with resource-intensive algorithm on a large amount
of measured data confronts with a technical challenge. This is overcome by
executing the whole process on a Graphic Processing Unit, which has recently
become an attractive device for parallel computing
Reciprocity Calibration for Massive MIMO: Proposal, Modeling and Validation
This paper presents a mutual coupling based calibration method for
time-division-duplex massive MIMO systems, which enables downlink precoding
based on uplink channel estimates. The entire calibration procedure is carried
out solely at the base station (BS) side by sounding all BS antenna pairs. An
Expectation-Maximization (EM) algorithm is derived, which processes the
measured channels in order to estimate calibration coefficients. The EM
algorithm outperforms current state-of-the-art narrow-band calibration schemes
in a mean squared error (MSE) and sum-rate capacity sense. Like its
predecessors, the EM algorithm is general in the sense that it is not only
suitable to calibrate a co-located massive MIMO BS, but also very suitable for
calibrating multiple BSs in distributed MIMO systems.
The proposed method is validated with experimental evidence obtained from a
massive MIMO testbed. In addition, we address the estimated narrow-band
calibration coefficients as a stochastic process across frequency, and study
the subspace of this process based on measurement data. With the insights of
this study, we propose an estimator which exploits the structure of the process
in order to reduce the calibration error across frequency. A model for the
calibration error is also proposed based on the asymptotic properties of the
estimator, and is validated with measurement results.Comment: Submitted to IEEE Transactions on Wireless Communications,
21/Feb/201
Precision Calibration of Radio Interferometers Using Redundant Baselines
Growing interest in 21 cm tomography has led to the design and construction
of broadband radio interferometers with low noise, moderate angular resolution,
high spectral resolution, and wide fields of view. With characteristics
somewhat different from traditional radio instruments, these interferometers
may require new calibration techniques in order to reach their design
sensitivities. Self-calibration or redundant calibration techniques that allow
an instrument to be calibrated off complicated sky emission structures are
ideal. In particular, the large number of redundant baselines possessed by
these new instruments makes redundant calibration an especially attractive
option. In this paper, we explore the errors and biases in existing redundant
calibration schemes through simulations, and show how statistical biases can be
eliminated. We also develop a general calibration formalism that includes both
redundant baseline methods and basic point source calibration methods as
special cases, and show how slight deviations from perfect redundancy and
coplanarity can be taken into account.Comment: 18 pages, 13 figures; Replaced to match accepted MNRAS versio
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